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am-infoweb
/
layout-test_model

Document Question Answering
Transformers
PyTorch
layoutlmv2
Model card Files Files and versions
xet
Community

Instructions to use am-infoweb/layout-test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use am-infoweb/layout-test_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="am-infoweb/layout-test_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("am-infoweb/layout-test_model")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("am-infoweb/layout-test_model")
  • Notebooks
  • Google Colab
  • Kaggle
layout-test_model
803 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
prajwalJumde's picture
prajwalJumde
Upload preprocessor_config.json
3966144 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.76 kB
    Upload LayoutLMv2ForQuestionAnswering over 2 years ago
  • preprocessor_config.json
    136 Bytes
    Upload preprocessor_config.json over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    802 MB
    xet
    Upload LayoutLMv2ForQuestionAnswering over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    643 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 2 years ago