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Dongjae
/
mrc2reader

Question Answering
Transformers
PyTorch
xlm-roberta
Model card Files Files and versions
xet
Community
1

Instructions to use Dongjae/mrc2reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dongjae/mrc2reader with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Dongjae/mrc2reader")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Dongjae/mrc2reader")
    model = AutoModelForQuestionAnswering.from_pretrained("Dongjae/mrc2reader", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mrc2reader
2.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Dongjae's picture
Dongjae
Update README.md
f6b382f over 5 years ago
  • .gitattributes
    690 Bytes
    initial commit over 5 years ago
  • README.md
    311 Bytes
    Update README.md over 5 years ago
  • config.json
    758 Bytes
    add my reader over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    2.24 GB
    xet
    add my reader over 5 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    add others over 5 years ago
  • special_tokens_map.json
    150 Bytes
    add others over 5 years ago
  • tokenizer_config.json
    493 Bytes
    add tokenizer config over 5 years ago