Token Classification
GLiNER
PyTorch
pii-detection
ner
multilingual
romanian
cee
on-device
privacy
Eval Results (legacy)
Instructions to use flowxai/cee-pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use flowxai/cee-pii with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("flowxai/cee-pii") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2c8ebf33061d297403d141ed49da4576297965a167fb9e13f2fbe52f4e6388a
- Size of remote file:
- 1.16 GB
- SHA256:
- 02064a55b690404c61c060143a36c3b0e07b2b30992c5ba4fd4b878d32be0381
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