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gliner-bi-large-v1.0

Token Classification

information extraction

entity recognition

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Ihor commited on Aug 25

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0a3f743

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1 Parent(s): f4aaf34

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@@ -28,7 +28,12 @@ Such architecture brings several advantages over uni-encoder GLiNER:
 However, it has some drawbacks such as a lack of inter-label interactions that make it hard for the model to disambiguate semantically similar but contextually different entities.
-### Usage
 Once you've downloaded the GLiNER library, you can import the GLiNER class. You can then load this model using `GLiNER.from_pretrained` and predict entities with `predict_entities`.
 ```python

 However, it has some drawbacks such as a lack of inter-label interactions that make it hard for the model to disambiguate semantically similar but contextually different entities.
+### Installation & Usage
+Install or update the gliner package:
+```bash
+pip install gliner -U
+```
 Once you've downloaded the GLiNER library, you can import the GLiNER class. You can then load this model using `GLiNER.from_pretrained` and predict entities with `predict_entities`.
 ```python