OpenMed-ZeroShot-NER-Pharma-Base-220M

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1 language

license:apache-2.0

by

OpenMed

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5 downloads

Early-stage

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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by OpenMed-ZeroShot-NER-Pharma-Base-220M with quality assessment

Specialized For

general

multilingual

Training Datasets (1)

🔵 6/10

general

multilingual

Key Strengths

•Scale and Accessibility: 750GB of publicly available, filtered text
•Systematic Filtering: Documented heuristics enable reproducibility
•Language Diversity: Despite English-only, captures diverse writing styles

Considerations

•English-Only: Limits multilingual applications
•Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

You can specify custom entity types for zero-shot recognition - for instance:python

# You can specify custom entity types for zero-shot recognition - for instance:
custom_entities = ["MISC", "CHE", "PERSON", "LOCATION", "MEDICATION", "PROCEDURE"]

entities = model.predict_entities(text, custom_entities, flat_ner=True, threshold=0.1)
for entity in entities:
    print(entity)

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