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cliang1453
/
deberta-v3-base-squadv2

Question Answering
Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

Instructions to use cliang1453/deberta-v3-base-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cliang1453/deberta-v3-base-squadv2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="cliang1453/deberta-v3-base-squadv2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("cliang1453/deberta-v3-base-squadv2")
    model = AutoModelForQuestionAnswering.from_pretrained("cliang1453/deberta-v3-base-squadv2")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-base-squadv2
747 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
cliang1453's picture
cliang1453
init
82732f6 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    23 Bytes
    init over 2 years ago
  • config.json
    875 Bytes
    init over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    735 MB
    xet
    init over 2 years ago
  • special_tokens_map.json
    173 Bytes
    init over 2 years ago
  • spm.model
    2.46 MB
    xet
    init over 2 years ago
  • tokenizer.json
    8.66 MB
    init over 2 years ago
  • tokenizer_config.json
    412 Bytes
    init over 2 years ago