Hugging Face's logo

cea-list-ia
/
glidre_multi

PyTorch
relation-extraction
Model card Files
xet
 Community
rarmingaud commited on
Commit
25779e3
·
verified ·
1 Parent(s): ee1be8b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ base_model:
22
  tags:
23
  - relation-extraction
24
  ---
25
- # GLiDRE: Generalist and Lightweight Model for Document Relation Extraction
26
  ## Overview
27
  GLiDRE is a generalist and lightweight model designed for Document Relation Extraction. It enables users to extract and classify relationships among entities within unstructured text documents. Built upon the success of previous work [GLiNER](https://github.com/urchade/GLiNER).
28
 
@@ -44,7 +44,7 @@ Here's a simple Python example to get you started:
44
  ```python
45
  from glidre import GLiDRE
46
 
47
- model = GLiDRE.from_pretrained("cea-list-ia/glidre_large")
48
 
49
  text = "The Loud Tour was the fourth overall and third world concert tour by Barbadian recording artist Rihanna."
50
 
 
22
  tags:
23
  - relation-extraction
24
  ---
25
+ # GLiDRE: Generalist and Lightweight Model for Document Relation Extraction - Multilingual checkpoint
26
  ## Overview
27
  GLiDRE is a generalist and lightweight model designed for Document Relation Extraction. It enables users to extract and classify relationships among entities within unstructured text documents. Built upon the success of previous work [GLiNER](https://github.com/urchade/GLiNER).
28
 
 
44
  ```python
45
  from glidre import GLiDRE
46
 
47
+ model = GLiDRE.from_pretrained("cea-list-ia/glidre_multi")
48
 
49
  text = "The Loud Tour was the fourth overall and third world concert tour by Barbadian recording artist Rihanna."
50