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nahiar
/
spam-detection

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use nahiar/spam-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nahiar/spam-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nahiar/spam-detection")
    model = AutoModelForSequenceClassification.from_pretrained("nahiar/spam-detection")
  • Notebooks
  • Google Colab
  • Kaggle
spam-detection
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  • 1 contributor
History: 2 commits
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nahiar
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4330d4f verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    899 Bytes
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  • config.json
    849 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tf_model.h5
    498 MB
    xet
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  • tokenizer.json
    709 kB
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  • tokenizer_config.json
    1.45 kB
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  • vocab.txt
    229 kB
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