Add Nougat (#25942)

* Add conversion script * Add NougatImageProcessor * Add crop margin * More improvements * Add docs, READMEs * Remove print statements * Include model_max_length * Add NougatTokenizerFast * Fix imports * Improve postprocessing * Improve image processor * Fix image processor * Improve normalize method * More improvements * More improvements * Add processor, improve docs * Simplify fast tokenizer * Remove test file * Fix docstrings * Use NougatProcessor in conversion script * Add is_levensthein_available * Add tokenizer tests * More improvements * Use numpy instead of opencv * Add is_cv2_available * Fix cv2_available * Add is_nltk_available * Add image processor tests, improve crop_margin * Add integration tests * Improve integration test * Use do_rescale instead of hacks, thanks Amy * Remove random_padding * Address comments * Address more comments * Add import * Address more comments * Address more comments * Address comment * Address comment * Set max_model_input_sizes * Add tests * Add requires_backends * Add Nougat to exotic tests * Use to_pil_image * Address comment regarding nltk * Add NLTK * Improve variable names, integration test * Add test * refactor, document, and test regexes * remove named capture groups, add comments * format * add non-markdown fixed tokenization * format * correct flakyness of args parse * add regex comments * test functionalities for crop_image, align long axis and expected output * add regex tests * remove cv2 dependency * test crop_margin equality between cv2 and python * refactor table regexes to markdown add newline * change print to log, improve doc * fix high count tables correction * address PR comments: naming, linting, asserts * Address comments * Add copied from * Update conversion script * Update conversion script to convert both small and base versions * Add inference example * Add more info * Fix style * Add require annotators to test * Define all keyword arguments explicitly * Move cv2 annotator * Add tokenizer init method * Transfer checkpoints * Add reference to Donut * Address comments * Skip test * Remove cv2 method * Add copied from statements * Use cached_property * Fix docstring * Add file to not doctested --------- Co-authored-by: Pablo Montalvo <pablo.montalvo.leroux@gmail.com>
2023-09-26 07:06:04 +02:00
parent 5e09af2acd
commit ace74d16bd
31 changed files with 2347 additions and 5 deletions
--- a/README_zh-hant.md
+++ b/README_zh-hant.md
@@ -387,6 +387,7 @@ conda install -c huggingface transformers
 1. **[Nezha](https://huggingface.co/docs/transformers/model_doc/nezha)** (from Huawei Noah’s Ark Lab) released with the paper [NEZHA: Neural Contextualized Representation for Chinese Language Understanding](https://arxiv.org/abs/1909.00204) by Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen and Qun Liu.
 1. **[NLLB](https://huggingface.co/docs/transformers/model_doc/nllb)** (from Meta) released with the paper [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) by the NLLB team.
 1. **[NLLB-MOE](https://huggingface.co/docs/transformers/model_doc/nllb-moe)** (from Meta) released with the paper [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) by the NLLB team.
+1. **[Nougat](https://huggingface.co/docs/transformers/main/model_doc/nougat)** (from Meta AI) released with the paper [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/abs/2308.13418) by Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic.
 1. **[Nyströmformer](https://huggingface.co/docs/transformers/model_doc/nystromformer)** (from the University of Wisconsin - Madison) released with the paper [Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention](https://arxiv.org/abs/2102.03902) by Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh.
 1. **[OneFormer](https://huggingface.co/docs/transformers/model_doc/oneformer)** (from SHI Labs) released with the paper [OneFormer: One Transformer to Rule Universal Image Segmentation](https://arxiv.org/abs/2211.06220) by Jitesh Jain, Jiachen Li, MangTik Chiu, Ali Hassani, Nikita Orlov, Humphrey Shi.
 1. **[OpenLlama](https://huggingface.co/docs/transformers/model_doc/open-llama)** (from [s-JoL](https://huggingface.co/s-JoL)) released in [Open-Llama](https://github.com/s-JoL/Open-Llama).