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prancyFox
/
tiny-bert-enron-spam

Text Classification
Transformers
Safetensors
English
bert
spam
ham
email
tinybert
enron
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use prancyFox/tiny-bert-enron-spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prancyFox/tiny-bert-enron-spam with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="prancyFox/tiny-bert-enron-spam")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("prancyFox/tiny-bert-enron-spam")
    model = AutoModelForSequenceClassification.from_pretrained("prancyFox/tiny-bert-enron-spam", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-bert-enron-spam / checkpoint-400
173 MB
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  • 1 contributor
History: 1 commit
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prancyFox
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97eef92 verified 12 months ago
  • config.json
    813 Bytes
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  • model.safetensors
    57.4 MB
    xet
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  • optimizer.pt
    115 MB
    xet
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  • rng_state.pth
    14.5 kB
    xet
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  • scheduler.pt
    1.47 kB
    xet
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  • special_tokens_map.json
    132 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.36 kB
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  • trainer_state.json
    3.3 kB
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  • training_args.bin
    5.71 kB
    xet
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  • vocab.txt
    232 kB
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