Instructions to use pii-engineer/PII-Engineer-Chinese-NER-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use pii-engineer/PII-Engineer-Chinese-NER-v1.0 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("pii-engineer/PII-Engineer-Chinese-NER-v1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7babff0d88b7544b9a0d50e436692ea72c35b6a4f7781982e6c2e1814d29873
- Size of remote file:
- 407 MB
- SHA256:
- adab9ef31cbe23558871c9467ccb40e36ed5f5f54eb20fb620532c3de24c06fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.