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liuliu96
/
layoutlmv2-base-uncased_finetuned_docvqa

Document Question Answering
Transformers
PyTorch
TensorBoard
layoutlmv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use liuliu96/layoutlmv2-base-uncased_finetuned_docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use liuliu96/layoutlmv2-base-uncased_finetuned_docvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="liuliu96/layoutlmv2-base-uncased_finetuned_docvqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("liuliu96/layoutlmv2-base-uncased_finetuned_docvqa")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("liuliu96/layoutlmv2-base-uncased_finetuned_docvqa")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv2-base-uncased_finetuned_docvqa / runs
50.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
liuliu96's picture
liuliu96
End of training
a32fad6 about 3 years ago
  • May06_05-13-48_64fa43592ad5
    End of training about 3 years ago