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anthonyyazdaniml
/

GLiNER-BioClinX

Token Classification

named entity recognition

personally identifiable information

protected health information

de-identification

deidentification

information extraction

open-vocabulary NER

Model card Files Files and versions

Instructions to use anthonyyazdaniml/GLiNER-BioClinX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anthonyyazdaniml/GLiNER-BioClinX with GLiNER:

from gliner import GLiNER

model = GLiNER.from_pretrained("anthonyyazdaniml/GLiNER-BioClinX")

text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal."
labels = ["person", "date", "location"]

entities = model.predict_entities(text, labels)
for entity in entities:
    print(entity["text"], "=>", entity["label"])

Notebooks
Google Colab
Kaggle

GLiNER-BioClinX

2.45 GB

Ctrl+K

Ctrl+K

1 contributor

History: 5 commits

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anthonyyazdaniml

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spiece.model

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tokenizer.json

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tokenizer_config.json

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