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vedantM
/
BigBird-PII

Token Classification
Transformers
Safetensors
big_bird
Model card Files Files and versions
xet
Community

Instructions to use vedantM/BigBird-PII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vedantM/BigBird-PII with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="vedantM/BigBird-PII")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vedantM/BigBird-PII")
    model = AutoModelForTokenClassification.from_pretrained("vedantM/BigBird-PII")
  • Notebooks
  • Google Colab
  • Kaggle
BigBird-PII
512 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
vedantM's picture
vedantM
Upload tokenizer
94c4c16 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload BigBirdForTokenClassification about 2 years ago
  • config.json
    1.68 kB
    Upload BigBirdForTokenClassification about 2 years ago
  • model.safetensors
    510 MB
    xet
    Upload BigBirdForTokenClassification about 2 years ago
  • special_tokens_map.json
    960 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.46 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.66 kB
    Upload tokenizer about 2 years ago