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jason23322
/
email-classifier-distilbert

Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
email-classification
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use jason23322/email-classifier-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jason23322/email-classifier-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jason23322/email-classifier-distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jason23322/email-classifier-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("jason23322/email-classifier-distilbert")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.58 kB
    Upload email classifier model with 100% accuracy 12 months ago
  • README.md
    4.85 kB
    Upload email classifier model with 100% accuracy 12 months ago
  • config.json
    889 Bytes
    Upload email classifier model with 100% accuracy 12 months ago
  • confusion_matrix.png
    115 kB
    xet
    Upload email classifier model with 100% accuracy 12 months ago
  • model.safetensors
    268 MB
    xet
    Upload email classifier model with 100% accuracy 12 months ago
  • special_tokens_map.json
    125 Bytes
    Upload email classifier model with 100% accuracy 12 months ago
  • test_results.json
    5.91 kB
    Upload email classifier model with 100% accuracy 12 months ago
  • tokenizer_config.json
    1.28 kB
    Upload email classifier model with 100% accuracy 12 months ago
  • vocab.txt
    232 kB
    Upload email classifier model with 100% accuracy 12 months ago