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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
202 MB
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  • 2 contributors
History: 5 commits
Teja-Gollapudi's picture
Teja-Gollapudi
Update README.md
4cf7605 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    4.18 kB
    Update README.md about 3 years ago
  • config.json
    837 Bytes
    Files added about 3 years ago
  • merges.txt
    456 kB
    Files added about 3 years ago
  • model_quantize.onnx
    199 MB
    xet
    Files added about 3 years ago
  • ort_config.json
    698 Bytes
    Files added about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Files added about 3 years ago
  • tokenizer.json
    2.11 MB
    Files added about 3 years ago
  • tokenizer_config.json
    455 Bytes
    Files added about 3 years ago
  • vocab.json
    798 kB
    Files added about 3 years ago