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JeswinMS4
/
quantized-scam-alert-mobile-bert

Text Classification
Transformers
ONNX
mobilebert
Model card Files Files and versions
xet
Community

Instructions to use JeswinMS4/quantized-scam-alert-mobile-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JeswinMS4/quantized-scam-alert-mobile-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JeswinMS4/quantized-scam-alert-mobile-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JeswinMS4/quantized-scam-alert-mobile-bert")
    model = AutoModelForSequenceClassification.from_pretrained("JeswinMS4/quantized-scam-alert-mobile-bert")
  • Notebooks
  • Google Colab
  • Kaggle
quantized-scam-alert-mobile-bert
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  • 1 contributor
History: 2 commits
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JeswinMS4
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.06 kB
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  • model_quantized.onnx
    26.6 MB
    xet
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  • ort_config.json
    763 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.33 kB
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  • vocab.txt
    232 kB
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