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dmis-lab
/
roberta-large-nq-mrc

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

Instructions to use dmis-lab/roberta-large-nq-mrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dmis-lab/roberta-large-nq-mrc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="dmis-lab/roberta-large-nq-mrc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("dmis-lab/roberta-large-nq-mrc")
    model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/roberta-large-nq-mrc")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-nq-mrc
1.42 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
mjtwins's picture
mjtwins
model upload
6e98b82 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    491 Bytes
    model upload over 2 years ago
  • merges.txt
    456 kB
    model upload over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.42 GB
    xet
    model upload over 2 years ago
  • special_tokens_map.json
    150 Bytes
    model upload over 2 years ago
  • tokenizer_config.json
    49 Bytes
    model upload over 2 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.84 kB
    xet
    model upload over 2 years ago
  • vocab.json
    899 kB
    model upload over 2 years ago