gliner-PII
1.6K
35
1 language
—
by
nvidia
Other
OTHER
New
2K downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
Description: GLiNER-PII is a successor to the Gretel GLiNER PII/PHI models.
Code Examples
Usage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
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pip install glinerUsage Recommendationtext
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pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
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pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
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pip install glinerUsage Recommendationtext
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pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
pip install glinerUsage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Usage Recommendationtext
from gliner import GLiNER
# 1. Define our new text
text = "Hi support, I can't log in! My account username is 'johndoe88'. Every time I try, it says 'invalid credentials'. Please reset my password. You can reach me at (555) 123-4567 or [email protected]"
# 2. Define the labels we're hunting for.
labels = ["email", "phone_number", "user_name"]
# 3. Load the PII model
model = GLiNER.from_pretrained("nvidia/gliner-pii")
# 4. Run the prediction at given threshold
entities = model.predict_entities(text, labels, threshold=0.5)Deploy This Model
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