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@@ -19,15 +19,16 @@ This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggin
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  ## Model description
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- More information needed
 
 
 
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  ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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- ### Training results
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  ### Framework versions
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  ## Model description
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+ Donut 🍩, Document understanding transformer, is a new method of document understanding
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+ that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR
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+ engines/APIs, yet it shows state-of-the-art performances on various visual document understanding tasks,
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+ such as visual document classification or information extraction (a.k.a. document parsing).
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  ## Intended uses & limitations
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+ Basic Donut model
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  ## Training procedure
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Framework versions
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