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rubentito
/
bert-large-mpdocvqa

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

Instructions to use rubentito/bert-large-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rubentito/bert-large-mpdocvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="rubentito/bert-large-mpdocvqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("rubentito/bert-large-mpdocvqa")
    model = AutoModelForQuestionAnswering.from_pretrained("rubentito/bert-large-mpdocvqa")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-mpdocvqa
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  • 2 contributors
History: 28 commits
rubentito's picture
rubentito
Update README.md
01790b7 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    3.75 kB
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  • config.json
    651 Bytes
    Upload 6 files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.34 GB
    xet
    Upload 6 files about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files about 3 years ago
  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    584 Bytes
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  • vocab.txt
    232 kB
    Upload 6 files about 3 years ago