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nbroad
/
rob-base-superqa1

Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
6

Instructions to use nbroad/rob-base-superqa1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nbroad/rob-base-superqa1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="nbroad/rob-base-superqa1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa1")
    model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa1")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Update Hugging Face dataset ID

#6 opened about 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#5 opened almost 3 years ago by
SFconvertbot

Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#4 opened over 3 years ago by
autoevaluator
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