Instructions to use lBroth/nullpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use lBroth/nullpii with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("lBroth/nullpii") 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 model.onnx from lBroth/nullpii: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/lBroth/nullpii/resolve/main/model.onnx
- Command line
-
hf download hf://lBroth/nullpii/model.onnx
-
curl -L -o model.onnx https://huggingface.co/lBroth/nullpii/resolve/main/model.onnx
1.16 GB
- Xet hash:
- 593556a7c640dcc6dd3fd8b31d4e31af2fe3be45546c715115c72aca43a5c191
- Size of remote file:
- 1.16 GB
- SHA256:
- 287ab8ede4307c216b06771e836c00b3b0b3119490bfb60df31532d33f90d832
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