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naver-clova-ix
/
donut-base-finetuned-rvlcdip

Image-to-Text
Transformers
PyTorch
vision-encoder-decoder
image-text-to-text
donut
vision
Model card Files Files and versions
xet
Community
5

Instructions to use naver-clova-ix/donut-base-finetuned-rvlcdip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use naver-clova-ix/donut-base-finetuned-rvlcdip 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="naver-clova-ix/donut-base-finetuned-rvlcdip")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("naver-clova-ix/donut-base-finetuned-rvlcdip")
    model = AutoModelForMultimodalLM.from_pretrained("naver-clova-ix/donut-base-finetuned-rvlcdip")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Missing feature_extractor_type or wrong model_type

#5 opened over 1 year ago by
enkaya

Adding `safetensors` variant of this model

#4 opened about 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened almost 3 years ago by
SFconvertbot

Why `"max_position_embeddings": 8`?

👍 4
#2 opened almost 3 years ago by
fxmarty
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