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Donut (base-sized model, fine-tuned on CORD)

Donut model fine-tuned on CORD. It was introduced in the paper OCR-free Document Understanding Transformer by Geewok et al. and first released in this repository.

Disclaimer: The team releasing Donut did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description

Donut consists of a vision encoder (Swin Transformer) and a text decoder (BART). Given an image, the encoder first encodes the image into a tensor of embeddings (of shape batch_size, seq_len, hidden_size), after which the decoder autoregressively generates text, conditioned on the encoding of the encoder.

model image

Intended uses & limitations

This model is fine-tuned on CORD, a document parsing dataset.

We refer to the documentation which includes code examples.

CORD Dataset

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing. cord

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