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Goodmotion
/
spam-mail-classifier

Text Classification
Transformers
Safetensors
spam-detection
Model card Files Files and versions
xet
Community

Instructions to use Goodmotion/spam-mail-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Goodmotion/spam-mail-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Goodmotion/spam-mail-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Goodmotion/spam-mail-classifier", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
spam-mail-classifier
493 MB
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  • 2 contributors
History: 9 commits
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3e76b54 over 1 year ago
  • .gitattributes
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  • .gitignore
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  • README.md
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  • config.json
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  • model.safetensors
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • training.py
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