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nuri
/
i-manual-longformer

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

Instructions to use nuri/i-manual-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nuri/i-manual-longformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="nuri/i-manual-longformer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("nuri/i-manual-longformer")
    model = AutoModelForQuestionAnswering.from_pretrained("nuri/i-manual-longformer")
  • Notebooks
  • Google Colab
  • Kaggle
i-manual-longformer
594 MB
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  • 1 contributor
History: 2 commits
nuri's picture
nuri
Upload 7 files
c578717 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    21 Bytes
    initial commit over 3 years ago
  • config.json
    945 Bytes
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  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    592 MB
    xet
    Upload 7 files over 3 years ago
  • special_tokens_map.json
    167 Bytes
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  • tokenizer_config.json
    1.54 kB
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  • training_args.bin
    1.65 kB
    xet
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  • vocab.json
    999 kB
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