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jeromeku
/
pytorch2

Text Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use jeromeku/pytorch2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jeromeku/pytorch2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jeromeku/pytorch2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jeromeku/pytorch2")
    model = AutoModelForSequenceClassification.from_pretrained("jeromeku/pytorch2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pytorch2
438 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 16 commits
jeromeku's picture
jeromeku
Training in progress, epoch 3
8322f65 over 3 years ago
  • logs
    Training in progress, epoch 1 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • README.md
    24 Bytes
    initial commit over 3 years ago
  • config.json
    6.05 kB
    Training in progress, epoch 1 over 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Training in progress, epoch 3 over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, epoch 1 over 3 years ago