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rubentito
/
layoutlmv3-base-mpdocvqa

Document Question Answering
Transformers
PyTorch
English
layoutlmv3
DocVQA
Document Question Answering
Document Visual Question Answering
Model card Files Files and versions
xet
Community
6

Instructions to use rubentito/layoutlmv3-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rubentito/layoutlmv3-base-mpdocvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="rubentito/layoutlmv3-base-mpdocvqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("rubentito/layoutlmv3-base-mpdocvqa")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("rubentito/layoutlmv3-base-mpdocvqa")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Need Help in fine tuning this model on DUDE dataset (https://huggingface.co/datasets/jordyvl/DUDE_loader)

#6 opened over 1 year ago by
kratoss

Adding `safetensors` variant of this model

#5 opened over 1 year ago by
SFconvertbot

License not compatible with pretrained model's license

2
#4 opened almost 2 years ago by
JackdiQuadri97

Adding `safetensors` variant of this model

#3 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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