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marcolatella
/
prova_Classi2

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
1

Instructions to use marcolatella/prova_Classi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marcolatella/prova_Classi2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="marcolatella/prova_Classi2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("marcolatella/prova_Classi2")
    model = AutoModelForSequenceClassification.from_pretrained("marcolatella/prova_Classi2")
  • Notebooks
  • Google Colab
  • Kaggle
prova_Classi2 / runs
39 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
marcolatella's picture
marcolatella
End of training
11c40f8 over 4 years ago
  • Dec10_16-08-27_3033f3e17545
    Training in progress, epoch 1 over 4 years ago
  • Dec10_16-15-29_3033f3e17545
    End of training over 4 years ago