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s3h
/
gec-token-classification

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

Instructions to use s3h/gec-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s3h/gec-token-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="s3h/gec-token-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("s3h/gec-token-classification")
    model = AutoModelForTokenClassification.from_pretrained("s3h/gec-token-classification")
  • Notebooks
  • Google Colab
  • Kaggle
gec-token-classification
998 kB
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  • 1 contributor
History: 5 commits
s3h's picture
s3h
Upload tokenizer_config.json
c3c6574 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    825 Bytes
    Upload config.json over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer_config.json
    49 Bytes
    Upload tokenizer_config.json over 4 years ago
  • vocab.txt
    996 kB
    Upload vocab.txt over 4 years ago