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autoevaluate
/
binary-classification

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
127

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

  • Libraries
  • Transformers

    How to use autoevaluate/binary-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="autoevaluate/binary-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/binary-classification")
    model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/binary-classification")
  • Notebooks
  • Google Colab
  • Kaggle
binary-classification / runs /May25_09-48-27_6bf2abbffa14
11 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
lewtun's picture
lewtun HF Staff
End of training
9c3b2aa almost 4 years ago
  • 1653472114.0545518
    Training in progress, epoch 1 almost 4 years ago
  • events.out.tfevents.1653472114.6bf2abbffa14.72.4
    5.43 kB
    xet
    End of training almost 4 years ago
  • events.out.tfevents.1653472536.6bf2abbffa14.72.6
    363 Bytes
    xet
    End of training almost 4 years ago