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TeeA
/
DONUT-ViChart

Visual Question Answering
Transformers
Safetensors
Vietnamese
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community

Instructions to use TeeA/DONUT-ViChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TeeA/DONUT-ViChart with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="TeeA/DONUT-ViChart")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("TeeA/DONUT-ViChart")
    model = AutoModelForImageTextToText.from_pretrained("TeeA/DONUT-ViChart")
  • Notebooks
  • Google Colab
  • Kaggle
DONUT-ViChart
737 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
TeeA's picture
TeeA
Training in progress, epoch 0
f5e1ec2 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    4.89 kB
    Training in progress, epoch 0 over 2 years ago
  • generation_config.json
    216 Bytes
    Training in progress, epoch 0 over 2 years ago
  • model.safetensors
    737 MB
    xet
    Training in progress, epoch 0 over 2 years ago