Token Classification
GLiNER2
Safetensors
Polish
extractor
ner
pii
polish
privacy
de-identification
span-extraction
Eval Results (legacy)
Instructions to use piotrmaciejbednarski/gliner2-polish-pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use piotrmaciejbednarski/gliner2-polish-pii with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("piotrmaciejbednarski/gliner2-polish-pii") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9842623cc8acc93df45984f0666a3e980858fac6080944cb910f6c14cb6200db
- Size of remote file:
- 1.23 GB
- SHA256:
- c7b0f1618087671f5403d74b90db20e40a381e2c8f29161f90fd9860480d468e
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