Nougat model, base sized version 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. Model description 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. Nougat high level overview. Taken from the original paper . Intended uses & limitations 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. How to use We refer to the docs. BibTeX entry and citation info
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