Token Classification
GLiNER
PyTorch
multilingual
NER
GLiNER
information extraction
encoder
entity recognition
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@@ -29,7 +29,12 @@ Such architecture brings several advantages over uni-encoder GLiNER:
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  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.
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- ### Usage
 
 
 
 
 
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  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`.
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  ```python
 
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  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.
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+ ### Installation & Usage
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+ Install or update the gliner package:
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+ ```bash
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+ pip install gliner -U
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+ ```
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+
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  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`.
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  ```python