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Lepolesa
/
my_distilbert_model

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Lepolesa/my_distilbert_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Lepolesa/my_distilbert_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Lepolesa/my_distilbert_model")
    model = AutoModelForSequenceClassification.from_pretrained("Lepolesa/my_distilbert_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
my_distilbert_model
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Lepolesa's picture
Lepolesa
Training in progress, epoch 3
a54e9a2 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    2.26 kB
    End of training almost 3 years ago
  • config.json
    735 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    Training in progress, epoch 3 almost 3 years ago
  • training_args.bin
    4.02 kB
    xet
    Training in progress, epoch 1 almost 3 years ago