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townboy
/
kpfbert-kdpii

Token Classification
Transformers
Safetensors
Korean
bert
korean
ner
pii
deidentification
Model card Files Files and versions
xet
Community

Instructions to use townboy/kpfbert-kdpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use townboy/kpfbert-kdpii with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="townboy/kpfbert-kdpii")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("townboy/kpfbert-kdpii")
    model = AutoModelForTokenClassification.from_pretrained("townboy/kpfbert-kdpii")
  • Notebooks
  • Google Colab
  • Kaggle
kpfbert-kdpii
455 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
townboy's picture
townboy
Upload KDPII fine-tuned model
c91ef0b verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.41 kB
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  • all_results.json
    686 Bytes
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  • config.json
    4.68 kB
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  • dataset_stats.json
    1.25 kB
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  • label_config.json
    5.74 kB
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  • model.safetensors
    454 MB
    xet
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  • runtime_config.json
    194 Bytes
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  • test_results.json
    330 Bytes
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  • tokenizer.json
    851 kB
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  • tokenizer_config.json
    419 Bytes
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  • trainer_state.json
    87.3 kB
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  • training_args.bin
    5.2 kB
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  • validation_results.json
    378 Bytes
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