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seongyeon1
/
ko-pii-ner-roberta-base

Token Classification
Transformers
Safetensors
Korean
roberta
korean
pii
ner
privacy
de-identification
Model card Files Files and versions
xet
Community

Instructions to use seongyeon1/ko-pii-ner-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seongyeon1/ko-pii-ner-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="seongyeon1/ko-pii-ner-roberta-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("seongyeon1/ko-pii-ner-roberta-base")
    model = AutoModelForTokenClassification.from_pretrained("seongyeon1/ko-pii-ner-roberta-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ko-pii-ner-roberta-base
441 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
seongyeon1's picture
seongyeon1
v2: KDPII 홀드아웃 데이터로 재학습, 홀드아웃 F5 0.9344, 카드 전면 갱신
95a3af6 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    8.41 kB
    v2: KDPII 홀드아웃 데이터로 재학습, 홀드아웃 F5 0.9344, 카드 전면 갱신 2 months ago
  • config.json
    2.77 kB
    Add model weights, tokenizer, and full model card 2 months ago
  • model.safetensors
    440 MB
    xet
    v2: KDPII 홀드아웃 데이터로 재학습, 홀드아웃 F5 0.9344, 카드 전면 갱신 2 months ago
  • special_tokens_map.json
    971 Bytes
    Add model weights, tokenizer, and full model card 2 months ago
  • tokenizer.json
    752 kB
    Add model weights, tokenizer, and full model card 2 months ago
  • tokenizer_config.json
    1.28 kB
    Add model weights, tokenizer, and full model card 2 months ago
  • vocab.txt
    248 kB
    Add model weights, tokenizer, and full model card 2 months ago