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ParkJunSeong
/
PIILOT_NER_Model

Token Classification
Transformers
Safetensors
Korean
electra
ner
pii-detection
Generated from Trainer
koelectra
Model card Files Files and versions
xet
Community

Instructions to use ParkJunSeong/PIILOT_NER_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ParkJunSeong/PIILOT_NER_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ParkJunSeong/PIILOT_NER_Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ParkJunSeong/PIILOT_NER_Model")
    model = AutoModelForTokenClassification.from_pretrained("ParkJunSeong/PIILOT_NER_Model")
  • Notebooks
  • Google Colab
  • Kaggle
PIILOT_NER_Model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ParkJunSeong's picture
ParkJunSeong
Update README.md
8bcef3f verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    2.91 kB
    Update README.md 4 months ago
  • config.json
    1.41 kB
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago
  • model.safetensors
    449 MB
    xet
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago
  • special_tokens_map.json
    125 Bytes
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago
  • tokenizer.json
    815 kB
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago
  • tokenizer_config.json
    1.27 kB
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago
  • vocab.txt
    263 kB
    KoELECTRA 기반 PII 탐지 모델 초기 업로드 4 months ago