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SOTAagi2030
/
ClinicNote-DeID-Baseline

Token Classification
Transformers
Safetensors
English
bert
de-identification
Model card Files Files and versions
xet
Community

Instructions to use SOTAagi2030/ClinicNote-DeID-Baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SOTAagi2030/ClinicNote-DeID-Baseline with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SOTAagi2030/ClinicNote-DeID-Baseline")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/ClinicNote-DeID-Baseline")
    model = AutoModelForTokenClassification.from_pretrained("SOTAagi2030/ClinicNote-DeID-Baseline", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ClinicNote-DeID-Baseline
1.39 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
SOTAagi2030's picture
SOTAagi2030
Remove auto-generated .gitattributes
398783f verified about 1 month ago
  • assets
    Upload assets/redaction-example.txt about 1 month ago
  • README.md
    778 Bytes
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  • config.json
    153 Bytes
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  • model.safetensors
    79 Bytes
    xet
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  • tokenizer.json
    245 Bytes
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