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kanansharmaa
/
layoutlmv2_finetuned_docvqa

Document Question Answering
Transformers
TensorBoard
Safetensors
layoutlmv2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use kanansharmaa/layoutlmv2_finetuned_docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kanansharmaa/layoutlmv2_finetuned_docvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="kanansharmaa/layoutlmv2_finetuned_docvqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("kanansharmaa/layoutlmv2_finetuned_docvqa")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("kanansharmaa/layoutlmv2_finetuned_docvqa")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv2_finetuned_docvqa / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 35 commits
kanansharmaa's picture
kanansharmaa
Training in progress, step 4400
ed4afec verified about 2 years ago
  • Apr29_12-50-02_innobit-Z390-M
    Training in progress, step 200 about 2 years ago
  • Apr29_14-46-18_innobit-Z390-M
    Training in progress, step 200 about 2 years ago
  • Apr29_15-52-09_innobit-Z390-M
    Training in progress, step 4400 about 2 years ago