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ncats
/
EpiClassify4GARD

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use ncats/EpiClassify4GARD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ncats/EpiClassify4GARD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ncats/EpiClassify4GARD", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ncats/EpiClassify4GARD")
    model = AutoModelForSequenceClassification.from_pretrained("ncats/EpiClassify4GARD", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EpiClassify4GARD
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  • 1 contributor
History: 18 commits
wzkariampuzha's picture
wzkariampuzha
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5ea508f verified about 2 years ago
  • .gitattributes
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  • README.md
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  • all_results.json
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  • config.json
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  • eval_results.json
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  • eval_results.txt
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  • predict_results.txt
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • test_metrics.json
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  • test_predictions.tsv
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  • tokenizer.json
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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  • val_metrics.json
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  • val_predictions.tsv
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  • vocab.txt
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