gliner-decoder-small-v1.0

Name: gliner-decoder-small-v1.0
Author: knowledgator

1 language

license:apache-2.0

knowledgator

Language Model

OTHER

New

17 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

Unknown

Mobile

Laptop

Server

Quick Summary

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type in a zero-shot manner.

Code Examples

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Installationbash

# until the new pip release, install from main to use the new architecture
pip install git+https://github.com/urchade/GLiNER.git

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Usagepython

from gliner import GLiNER

model = GLiNER.from_pretrained("knowledgator/gliner-decoder-small-v1.0")

text = "Hugging Face is a company that advances and democratizes artificial intelligence through open source and science."

labels = ["label"]

model.predict_entities(text, labels, threshold=0.3, num_gen_sequences=1)

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

Performance Tipsbash

pip install cython

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