Instructions to use beki/flair-pii-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use beki/flair-pii-distilbert with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("beki/flair-pii-distilbert") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from beki/flair-pii-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 783 MB
-
https://huggingface.co/beki/flair-pii-distilbert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://beki/flair-pii-distilbert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/beki/flair-pii-distilbert/resolve/main/pytorch_model.bin
783 MB
- Xet hash:
- f5c720adfc1f7f8514bd2aeb955da591d7d68a2a63f49de843c48598e824c35b
- Size of remote file:
- 783 MB
- SHA256:
- eebab6cca325e969aeba1ad4f3006d857eb1fb1b81ac2abe3e175481b0408c78
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