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 tokenizer.json from lBroth/nullpii: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/lBroth/nullpii/resolve/main/tokenizer.json
- Command line
-
hf download hf://lBroth/nullpii/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lBroth/nullpii/resolve/main/tokenizer.json
16 MB
- Xet hash:
- 46c4c2387adf9d3cfc0da70bfa0b55ff07e32fd77083b79545ee1509d610caa5
- Size of remote file:
- 16 MB
- SHA256:
- c5b8041501fcdee792b9b112dd592861f04391a24633a73fd9f05aaaf6e8eff1
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