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ncats
/
EpiExtract4GARD-v1

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ncats/EpiExtract4GARD-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ncats/EpiExtract4GARD-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ncats/EpiExtract4GARD-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ncats/EpiExtract4GARD-v1")
    model = AutoModelForTokenClassification.from_pretrained("ncats/EpiExtract4GARD-v1")
  • Notebooks
  • Google Colab
  • Kaggle
EpiExtract4GARD-v1
432 MB
Ctrl+K
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  • 1 contributor
History: 33 commits
wzkariampuzha's picture
wzkariampuzha
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  • .gitattributes
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  • README.md
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  • config.json
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  • config.yaml
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  • eval_results.txt
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  • license.txt
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  • output.log
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  • pytorch_model.bin
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  • requirements.txt
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  • special_tokens_map.json
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  • test_predictions.txt
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  • test_results.txt
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  • tokenizer_config.json
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  • training_args.bin
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  • vocab.txt
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  • wandb-metadata.json
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  • wandb-summary.json
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