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schift-io
/
schift-ko-pii-v4

Token Classification
Transformers
Safetensors
Korean
roberta
pii
korean
ner
privacy
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use schift-io/schift-ko-pii-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use schift-io/schift-ko-pii-v4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="schift-io/schift-ko-pii-v4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("schift-io/schift-ko-pii-v4")
    model = AutoModelForTokenClassification.from_pretrained("schift-io/schift-ko-pii-v4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
schift-ko-pii-v4
221 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 31 commits
ubermensch1218's picture
ubermensch1218
Add benchmark_v2 (253 cases)
7333723 verified 2 days ago
  • benchmark
    Add benchmark_v2 (253 cases) 2 days ago
  • schift_ko_pii
    SDK 0.2.0: detect() with id field, mask(), apply() 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • LICENSE
    8.55 kB
    Upload LICENSE with huggingface_hub 4 days ago
  • README.md
    6.87 kB
    Update README: bench_v2 results + mask/apply API docs 2 days ago
  • config.json
    2.55 kB
    Upload config.json with huggingface_hub 3 days ago
  • model.safetensors
    220 MB
    xet
    Upload model.safetensors with huggingface_hub 3 days ago
  • tokenizer.json
    752 kB
    Upload tokenizer.json with huggingface_hub 3 days ago
  • tokenizer_config.json
    452 Bytes
    Upload tokenizer_config.json with huggingface_hub 3 days ago