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zharry29
/
step_benchmark_roberta

Multiple Choice
Transformers
PyTorch
JAX
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use zharry29/step_benchmark_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zharry29/step_benchmark_roberta with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_roberta")
    model = AutoModelForMultipleChoice.from_pretrained("zharry29/step_benchmark_roberta")
  • Notebooks
  • Google Colab
  • Kaggle
step_benchmark_roberta
499 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
system's picture
system HF Staff
Update tokenizer_config.json
e7b2faa over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    1.05 kB
    Update config.json over 5 years ago
  • pytorch_model.bin
    499 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • tokenizer_config.json
    39 Bytes
    Update tokenizer_config.json over 5 years ago