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Vikaash17
/
ticket-classification-distilbert

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

Instructions to use Vikaash17/ticket-classification-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vikaash17/ticket-classification-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Vikaash17/ticket-classification-distilbert")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Vikaash17/ticket-classification-distilbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ticket-classification-distilbert / ticket_model_final
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Vikaash17's picture
Vikaash17
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5107655 verified 10 days ago
  • config.json
    985 Bytes
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  • label_encoder.pkl

    Detected Pickle imports (4)

    • "numpy.dtype",
    • "numpy.ndarray",
    • "numpy._core.multiarray._reconstruct",
    • "sklearn.preprocessing._label.LabelEncoder"

    How to fix it?

    356 Bytes
    xet
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  • model.safetensors
    268 MB
    xet
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    328 Bytes
    Upload folder using huggingface_hub 10 days ago