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mapo80
/
DeQA-Doc-Color

Image-to-Text
Transformers
PyTorch
TensorBoard
English
mplug_owl2
feature-extraction
image-quality-assessment
document-quality
mplug-owl2
vision-language
document-analysis
color-quality
IQA
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use mapo80/DeQA-Doc-Color with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mapo80/DeQA-Doc-Color with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="mapo80/DeQA-Doc-Color", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mapo80/DeQA-Doc-Color", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DeQA-Doc-Color / runs
143 kB
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  • 1 contributor
History: 1 commit
mapo80's picture
mapo80
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  • .DS_Store
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