Token Classification
GLiNER
PyTorch
multilingual
Ihor commited on
Commit
20db815
1 Parent(s): 4dc4674

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -1
README.md CHANGED
@@ -23,7 +23,12 @@ Such architecture brings several advantages over uni-encoder GLiNER:
23
 
24
  Post fusion strategy brings advantages over classical bi-encoder enabling better inter-label understanding.
25
 
26
- ### Usage
 
 
 
 
 
27
  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`.
28
 
29
  ```python
 
23
 
24
  Post fusion strategy brings advantages over classical bi-encoder enabling better inter-label understanding.
25
 
26
+ ### Installation & Usage
27
+ Install or update the gliner package:
28
+ ```bash
29
+ pip install gliner -U
30
+ ```
31
+
32
  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`.
33
 
34
  ```python