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README.md
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## Model description
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## Intended uses & limitations
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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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