Instructions to use urchade/gliner_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use urchade/gliner_multi with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("urchade/gliner_multi") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add model in new format (#3)
Verified signature- Add model in new format (33ab3b56143a9587c5258738a207d5c76bc8c341) - Remove old model (65833023124efaa873f57995395815ee6d268b97) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>be623bd
-
Rename mgliner.pt to gliner_multi.pt
Verified signaturee858e30 -
Rename mGLiNER.pt to mgliner.pt
Verified signaturef033d8f -
Delete .gitattributes
Verified signature71eae1c -
initial commit
Verified signaturecdcea14