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nikhilrk
/
de-identify

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

Instructions to use nikhilrk/de-identify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nikhilrk/de-identify with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="nikhilrk/de-identify")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nikhilrk/de-identify")
    model = AutoModelForTokenClassification.from_pretrained("nikhilrk/de-identify")
  • Notebooks
  • Google Colab
  • Kaggle
de-identify
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  • 1 contributor
History: 3 commits
nikhilrk's picture
nikhilrk
Upload tokenizer
abbf9de about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.49 kB
    Upload BertForTokenClassification about 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    Upload BertForTokenClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    706 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    511 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    226 kB
    Upload tokenizer about 3 years ago