Token Classification
GLiNER
PyTorch
ONNX
English
nvidia
PII
PHI
GLiNER
information extraction
entity recognition
privacy
Instructions to use Rizwan313/gliner-PII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use Rizwan313/gliner-PII with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("Rizwan313/gliner-PII") - Notebooks
- Google Colab
- Kaggle
Download fp16/spm.model from Rizwan313/gliner-PII: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
-
https://huggingface.co/Rizwan313/gliner-PII/resolve/main/fp16/spm.model
- Command line
-
hf download hf://Rizwan313/gliner-PII/fp16/spm.model
-
curl -L -o spm.model https://huggingface.co/Rizwan313/gliner-PII/resolve/main/fp16/spm.model
2.46 MB
- Xet hash:
- 6bd079d8585fbcdbf47cb3a534f888b5aaa32b8994301f5c47573e6cf825d7da
- Size of remote file:
- 2.46 MB
- SHA256:
- c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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