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pardeepSF
/
layoutlm-vqa

Document Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

Instructions to use pardeepSF/layoutlm-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pardeepSF/layoutlm-vqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="pardeepSF/layoutlm-vqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("pardeepSF/layoutlm-vqa")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("pardeepSF/layoutlm-vqa")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlm-vqa
1.36 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
pardeepSF's picture
pardeepSF
bert large vendor
114f7d8 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    719 Bytes
    bert large vendor over 3 years ago
  • pytorch_model.bin
    1.36 GB
    xet
    bert large vendor over 3 years ago
  • special_tokens_map.json
    125 Bytes
    previous commit of bert vendor over 3 years ago
  • tokenizer_config.json
    532 Bytes
    bert large vendor over 3 years ago
  • training_args.bin

    Detected Pickle imports (2)

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

    How to fix it?

    1.58 kB
    xet
    bert large vendor over 3 years ago
  • vocab.txt
    232 kB
    previous commit of bert vendor over 3 years ago