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Rahul

Rjp97

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updated a model 10 days ago

Rjp97/microsoft-deberta-v3-large

published a model 10 days ago

Rjp97/microsoft-deberta-v3-large

replied to urchade's post 8 months ago

**Some updates on GLiNER** 🆕 A new commercially permissible multilingual version is available urchade/gliner_multiv2.1 🐛 A subtle bug that causes performance degradation on some models has been corrected. Thanks to @yyDing1 for raising the issue. ``` from gliner import GLiNER # Initialize GLiNER model = GLiNER.from_pretrained("urchade/gliner_multiv2.1") text = "This is a text about Bill Gates and Microsoft." # Labels for entity prediction labels = ["person", "organization", "email"] entities = model.predict_entities(text, labels, threshold=0.5) for entity in entities: print(entity["text"], "=>", entity["label"]) ```

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Rjp97/microsoft-deberta-v3-large

Text Classification • Updated 10 days ago • 8

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