Create README.md (#1)

- Create README.md (8eb5a3350caa5063f86a2e5f359a5bb1465d66fc)

README.md

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+---
+license: apache-2.0
+tags:
+- vision
+pipeline_tag: image-to-text
+---
+
+# 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](https://arxiv.org/abs/2308.13418) by Blecher et al. and first released in [this repository](https://github.com/facebookresearch/nougat/tree/main). 
+
+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.
+
+## Model description
+
+Nougat is a [Donut](https://huggingface.co/docs/transformers/model_doc/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.
+
+## Intended uses & limitations
+
+You can use the raw model for transcribing a PDF into Markdown. See the [model hub](https://huggingface.co/models?search=nougat) to look for other
+fine-tuned versions that may interest you.
+
+### How to use
+
+We refer to the [docs](https://huggingface.co/docs/transformers/main/en/model_doc/nougat).
+
+### BibTeX entry and citation info
+
+```bibtex
+@misc{blecher2023nougat,
+      title={Nougat: Neural Optical Understanding for Academic Documents}, 
+      author={Lukas Blecher and Guillem Cucurull and Thomas Scialom and Robert Stojnic},
+      year={2023},
+      eprint={2308.13418},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}
+```