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thealper2
/
donut-im2latex

Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
donut
latex
im2latex
ocr
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use thealper2/donut-im2latex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thealper2/donut-im2latex 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="thealper2/donut-im2latex")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("thealper2/donut-im2latex")
    model = AutoModelForMultimodalLM.from_pretrained("thealper2/donut-im2latex", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
donut-im2latex
813 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
thealper2's picture
thealper2
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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
    809 MB
    xet
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  • processor_config.json
    512 Bytes
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  • tokenizer.json
    4.01 MB
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  • tokenizer_config.json
    475 Bytes
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  • training_config.yaml
    1.68 kB
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