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Add MarkupLM (#19198)

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* First draft

* Make basic test work

* Fix most tokenizer tests

* More improvements

* Make more tests pass

* Fix more tests

* Fix some code quality

* Improve truncation

* Implement feature extractor

* Improve feature extractor and add tests

* Improve feature extractor tests

* Fix pair_input test partly

* Add fast tokenizer

* Improve implementation

* Fix rebase

* Fix rebase

* Fix most of the tokenizer tests.

* propose solution for fast

* add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer

* add: modify markuplmconverter

* add: some modify on converter and tokenizerfast

* Fix style, copies

* Make fixup

* Update tokenization_markuplm.py

* Update test_tokenization_markuplm.py

* Update markuplm related

* Improve processor, add integration test

* Add processor test file

* Improve processor

* Improve processor tests

* Fix more processor tests

* Fix processor tests

* Update docstrings

* Add Copied from statements

* Add more Copied from statements

* Add code examples

* Improve code examples

* Add model to doc tests

* Adding dependency check

* Add dummy file

* Add requires_backends

* Add model to toctree

* Fix more things, disable dependency check for now

* Apply more suggestions

* Add soft dependency

* Add annotators to tests

* Fix style

* Remove from_slow=True

* Remove print statements

* Add sanity check

* Fix processor test

* Fix processor tests, add more docs

* Add doc tests for mdx file

* Add more tips

* Apply suggestions

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: lockon-n <45759388+lockon-n@users.noreply.github.com>
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: lockon-n <dd098309@126.com>
This commit is contained in:
NielsRogge
2022-09-30 08:25:43 +02:00
committed by GitHub
parent 49d62b0178
commit f3d2f7a6e0
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README_zh-hans.md
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@@ -302,7 +302,8 @@ conda install -c huggingface transformers
1. **[M-CTC-T](https://huggingface.co/docs/transformers/model_doc/mctct)** (来自 Facebook) 伴随论文 [Pseudo-Labeling For Massively Multilingual Speech Recognition](https://arxiv.org/abs/2111.00161) 由 Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, and Ronan Collobert 发布。
1. **[M2M100](https://huggingface.co/docs/transformers/model_doc/m2m_100)** (来自 Facebook) 伴随论文 [Beyond English-Centric Multilingual Machine Translation](https://arxiv.org/abs/2010.11125) 由 Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin 发布。
1. **[MarianMT](https://huggingface.co/docs/transformers/model_doc/marian)** 用 [OPUS](http://opus.nlpl.eu/) 数据训练的机器翻译模型由 Jörg Tiedemann 发布。[Marian Framework](https://marian-nmt.github.io/) 由微软翻译团队开发。
1. **[MaskFormer](https://huggingface.co/docs/transformers/model_doc/maskformer)** (from Meta and UIUC) released with the paper [Per-Pixel Classification is Not All You Need for Semantic Segmentation](https://arxiv.org/abs/2107.06278) by Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
1. **[MarkupLM](https://huggingface.co/docs/transformers/main/model_doc/markuplm)** (来自 Microsoft Research Asia) 伴随论文 [MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding](https://arxiv.org/abs/2110.08518) 由 Junlong Li, Yiheng Xu, Lei Cui, Furu Wei 发布。
1. **[MaskFormer](https://huggingface.co/docs/transformers/model_doc/maskformer)** (from Meta and UIUC) released with the paper [Per-Pixel Classification is Not All You Need for Semantic Segmentation](https://arxiv.org/abs/2107.06278) by Bowen Cheng, Alexander G. Schwing, Alexander Kirillov >>>>>>> Fix rebase
1. **[mBART](https://huggingface.co/docs/transformers/model_doc/mbart)** (来自 Facebook) 伴随论文 [Multilingual Denoising Pre-training for Neural Machine Translation](https://arxiv.org/abs/2001.08210) 由 Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer 发布。
1. **[mBART-50](https://huggingface.co/docs/transformers/model_doc/mbart)** (来自 Facebook) 伴随论文 [Multilingual Translation with Extensible Multilingual Pretraining and Finetuning](https://arxiv.org/abs/2008.00401) 由 Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan 发布。
1. **[Megatron-BERT](https://huggingface.co/docs/transformers/model_doc/megatron-bert)** (来自 NVIDIA) 伴随论文 [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/abs/1909.08053) 由 Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper and Bryan Catanzaro 发布。