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VMware
/
tinyroberta-quantized-mrqa

Question Answering
Transformers
ONNX
English
roberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use VMware/tinyroberta-quantized-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VMware/tinyroberta-quantized-mrqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="VMware/tinyroberta-quantized-mrqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("VMware/tinyroberta-quantized-mrqa")
    model = AutoModelForQuestionAnswering.from_pretrained("VMware/tinyroberta-quantized-mrqa")
  • Notebooks
  • Google Colab
  • Kaggle
tinyroberta-quantized-mrqa
1.51 kB
Ctrl+K
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  • 2 contributors
History: 1 commit
Teja-Gollapudi's picture
Teja-Gollapudi
initial commit
3dd01df over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago