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
Add model in new format
#3
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Introduce new model format
Details
See https://github.com/urchade/GLiNER/pull/4 for more details.
- Tom Aarsen
urchade changed pull request status to merged