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:
- 46c4c2387adf9d3cfc0da70bfa0b55ff07e32fd77083b79545ee1509d610caa5
- Size of remote file:
- 16 MB
- SHA256:
- c5b8041501fcdee792b9b112dd592861f04391a24633a73fd9f05aaaf6e8eff1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.