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google
/
matcha-plotqa-v1

Visual Question Answering
Transformers
PyTorch
pix2struct
image-text-to-text
Model card Files Files and versions
xet
Community
2

Instructions to use google/matcha-plotqa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/matcha-plotqa-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="google/matcha-plotqa-v1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("google/matcha-plotqa-v1")
    model = AutoModelForImageTextToText.from_pretrained("google/matcha-plotqa-v1")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Results on PlotQA-V1 does not match with the paper

1
#1 opened over 1 year ago by
AliFarahani
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