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autoevaluate
/
multi-class-classification

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
46

Instructions to use autoevaluate/multi-class-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/multi-class-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="autoevaluate/multi-class-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/multi-class-classification")
    model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/multi-class-classification")
  • Notebooks
  • Google Colab
  • Kaggle
multi-class-classification / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
lewtun's picture
lewtun HF Staff
End of training
1817f64 almost 4 years ago
  • May28_13-26-58_c59c2f6ceea3
    Training in progress, epoch 1 almost 4 years ago
  • May28_13-30-29_c59c2f6ceea3
    End of training almost 4 years ago