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hf-internal-testing
/
tiny-random-MT5ForQuestionAnswering

Question Answering
Transformers
Safetensors
mt5
Model card Files Files and versions
xet
Community
72

Instructions to use hf-internal-testing/tiny-random-MT5ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-MT5ForQuestionAnswering with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MT5ForQuestionAnswering")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5ForQuestionAnswering")
    model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MT5ForQuestionAnswering")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-MT5ForQuestionAnswering
52.8 MB
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  • 1 contributor
History: 2 commits
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Upload tiny models for MT5ForQuestionAnswering
5d84362 over 2 years ago
  • .gitattributes
    1.57 kB
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago
  • config.json
    782 Bytes
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago
  • model.safetensors
    32.2 MB
    xet
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago
  • special_tokens_map.json
    416 Bytes
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  • spiece.model
    4.31 MB
    xet
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago
  • tokenizer_config.json
    833 Bytes
    Upload tiny models for MT5ForQuestionAnswering over 2 years ago