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khanhbk20
/
mrc_testing

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

Instructions to use khanhbk20/mrc_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use khanhbk20/mrc_testing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="khanhbk20/mrc_testing")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("khanhbk20/mrc_testing")
    model = AutoModelForQuestionAnswering.from_pretrained("khanhbk20/mrc_testing")
  • Notebooks
  • Google Colab
  • Kaggle
mrc_testing
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
khanhbk20's picture
khanhbk20
Create README.md
e3f87c1 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    76 Bytes
    Create README.md about 3 years ago
  • config.json
    744 Bytes
    add model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    add model about 3 years ago
  • special_tokens_map.json
    239 Bytes
    Upload 3 files about 3 years ago
  • tokenizer.json
    9.08 MB
    Upload 3 files about 3 years ago
  • tokenizer_config.json
    398 Bytes
    Upload 3 files about 3 years ago