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msivanes
/
sequence_classification

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

Instructions to use msivanes/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msivanes/sequence_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="msivanes/sequence_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("msivanes/sequence_classification")
    model = AutoModelForSequenceClassification.from_pretrained("msivanes/sequence_classification")
  • Notebooks
  • Google Colab
  • Kaggle
sequence_classification / runs
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  • 1 contributor
History: 1 commit
msivanes's picture
msivanes
End of training
7b697a9 over 2 years ago
  • Jan03_17-35-37_004997a09c17
    End of training over 2 years ago