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
Download .gitattributes from urchade/gliner_multi: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
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https://huggingface.co/urchade/gliner_multi/resolve/main/.gitattributes
- Command line
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hf download hf://urchade/gliner_multi/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/urchade/gliner_multi/resolve/main/.gitattributes
153 Bytes
| mgliner.pt filter=lfs diff=lfs merge=lfs -text | |
| gliner_multi.pt filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |