Nougat model trained on PDF-to-markdown. It was introduced in the paper
Nougat: Neural Optical Understanding for Academic Documents by Blecher et al. and first released in
this repository.
Disclaimer: The team releasing Nougat did not write a model card for this model so this model card has been written by the Hugging Face team.
Note: this model corresponds to the "0.1.0-base" version of the original repository.
Nougat is a
Donut model trained to transcribe scientific PDFs into an easy-to-use markdown format. The model consists of a Swin Transformer as vision encoder, and an mBART model as text decoder.
The model is trained to autoregressively predict the markdown given only the pixels of the PDF image as input.
You can use the raw model for transcribing a PDF into Markdown. See the
model hub to look for other
fine-tuned versions that may interest you.
1@misc{blecher2023nougat,
2 title={Nougat: Neural Optical Understanding for Academic Documents},
3 author={Lukas Blecher and Guillem Cucurull and Thomas Scialom and Robert Stojnic},
4 year={2023},
5 eprint={2308.13418},
6 archivePrefix={arXiv},
7 primaryClass={cs.LG}
8}
