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jayavibhav
/
deberta-classification-10ksamples

Text Classification
Transformers
PyTorch
TensorBoard
deberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use jayavibhav/deberta-classification-10ksamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jayavibhav/deberta-classification-10ksamples with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jayavibhav/deberta-classification-10ksamples")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jayavibhav/deberta-classification-10ksamples")
    model = AutoModelForSequenceClassification.from_pretrained("jayavibhav/deberta-classification-10ksamples")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-classification-10ksamples / runs
Ctrl+K
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  • 1 contributor
History: 3 commits
jayavibhav's picture
jayavibhav
End of training
2ab6b63 almost 3 years ago
  • Aug09_09-10-28_5ab33d1c9871
    End of training almost 3 years ago