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ehd0309
/
ko-pii-public-v1

Token Classification
Transformers
Safetensors
Korean
English
openai_privacy_filter
ner
pii
korean
privacy
kdpii
Model card Files Files and versions
xet
Community

Instructions to use ehd0309/ko-pii-public-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ehd0309/ko-pii-public-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ehd0309/ko-pii-public-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ehd0309/ko-pii-public-v1")
    model = AutoModelForTokenClassification.from_pretrained("ehd0309/ko-pii-public-v1")
  • Notebooks
  • Google Colab
  • Kaggle
ko-pii-public-v1
2.83 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ehd0309's picture
ehd0309
v2 weights: real-data-augmented (synthetic + KDPII). KDPII test F1 0.44 β†’ 0.88 @ thr=0.9.
1e02908 verified 1 day ago
  • .gitattributes
    1.57 kB
    Initial release: ko-pii-public-v1 (research, synthetic-data trained, KDPII-evaluated) 1 day ago
  • README.md
    8.45 kB
    v2 weights: real-data-augmented (synthetic + KDPII). KDPII test F1 0.44 β†’ 0.88 @ thr=0.9. 1 day ago
  • config.json
    3.76 kB
    Initial release: ko-pii-public-v1 (research, synthetic-data trained, KDPII-evaluated) 1 day ago
  • model.safetensors
    2.8 GB
    xet
    v2 weights: real-data-augmented (synthetic + KDPII). KDPII test F1 0.44 β†’ 0.88 @ thr=0.9. 1 day ago
  • tokenizer.json
    27.9 MB
    xet
    Initial release: ko-pii-public-v1 (research, synthetic-data trained, KDPII-evaluated) 1 day ago
  • tokenizer_config.json
    284 Bytes
    Initial release: ko-pii-public-v1 (research, synthetic-data trained, KDPII-evaluated) 1 day ago