Instructions to use DeepMount00/universal_ner_ita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use DeepMount00/universal_ner_ita with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("DeepMount00/universal_ner_ita") 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 pytorch_model.bin from DeepMount00/universal_ner_ita: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/DeepMount00/universal_ner_ita/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DeepMount00/universal_ner_ita/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DeepMount00/universal_ner_ita/resolve/main/pytorch_model.bin
497 MB
- Xet hash:
- 7d3b2f514bcfb3cdcf996d726ae2123aabf4a19d7eb6fe6b4c6344f8a9842eb5
- Size of remote file:
- 497 MB
- SHA256:
- f326a956748c4c04300ec01083866c771a135c72eee050ab59fd0507d8e991ce
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