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DataSign
/
gliner-ja-pii-v1

Token Classification
GLiNER
PyTorch
Japanese
ner
pii-detection
japanese
Model card Files Files and versions
xet
Community

Instructions to use DataSign/gliner-ja-pii-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use DataSign/gliner-ja-pii-v1 with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("DataSign/gliner-ja-pii-v1")
  • Notebooks
  • Google Colab
  • Kaggle
gliner-ja-pii-v1
1.17 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
yuichi-ota's picture
yuichi-ota
Update model card
54e97b3 verified 5 days ago
  • .gitattributes
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  • README.md
    6.37 kB
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  • gliner_config.json
    2.37 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    1.16 GB
    xet
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  • tokenizer.json
    16 MB
    xet
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  • tokenizer_config.json
    3.02 kB
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