* add config, modeling, and tokenization

* add auto and init

* update readme

* update readme

* update team name

* fixup

* fixup

* update config

* update code style

* update for fixup

* update for fixup

* update for fixup

* update for testing

* update for testing

* fix bug for config and tokenization

* fix bug for bos token

* not doctest

* debug tokenizer

* not doctest

* debug tokenization

* debug init for tokenizer

* fix style

* update init

* delete if in token auto

* add tokenizer doc

* add tokenizer in init

* Update dummy_tokenizers_objects.py

* update

* update

* debug

* Update tokenization_qwen2.py

* debug

* Update convert_slow_tokenizer.py

* add copies

* add copied from and make style

* update files map

* update test

* fix style

* fix merge reading and update tests

* fix tests

* fix tests

* fix style

* debug a variable in readme

* Update src/transformers/models/qwen2/configuration_qwen2.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* update test and copied from

* fix style

* update qwen2 tokenization  and tests

* Update tokenization_qwen2.py

* delete the copied from after property

* fix style

* update tests

* update tests

* add copied from

* fix bugs

* update doc

* add warning for sliding window attention

* update qwen2 tokenization

* fix style

* Update src/transformers/models/qwen2/modeling_qwen2.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix tokenizer fast

---------

Co-authored-by: Ren Xuancheng <jklj077@users.noreply.github.com>
Co-authored-by: renxuancheng.rxc <renxuancheng.rxc@alibaba-inc.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
Junyang Lin
2024-01-17 23:02:22 +08:00
committed by GitHub
parent d93ef7d751
commit d6ffe74dfa
30 changed files with 3136 additions and 2 deletions

View File

@@ -382,6 +382,7 @@ Flax, PyTorch, TensorFlow 설치 페이지에서 이들을 conda로 설치하는
1. **[ProphetNet](https://huggingface.co/docs/transformers/model_doc/prophetnet)** (Microsoft Research 에서) Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang and Ming Zhou 의 [ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training](https://arxiv.org/abs/2001.04063) 논문과 함께 발표했습니다.
1. **[PVT](https://huggingface.co/docs/transformers/model_doc/pvt)** (Nanjing University, The University of Hong Kong etc. 에서 제공)은 Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao.의 [Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions](https://arxiv.org/pdf/2102.12122.pdf)논문과 함께 발표했습니다.
1. **[QDQBert](https://huggingface.co/docs/transformers/model_doc/qdqbert)** (NVIDIA 에서) Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev and Paulius Micikevicius 의 [Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation](https://arxiv.org/abs/2004.09602) 논문과 함께 발표했습니다.
1. **[Qwen2](https://huggingface.co/docs/transformers/main/model_doc/qwen2)** (the Qwen team, Alibaba Group 에서 제공)은 Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou and Tianhang Zhu.의 [Qwen Technical Report](https://arxiv.org/abs/2309.16609)논문과 함께 발표했습니다.
1. **[RAG](https://huggingface.co/docs/transformers/model_doc/rag)** (Facebook 에서) Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela 의 [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401) 논문과 함께 발표했습니다.
1. **[REALM](https://huggingface.co/docs/transformers/model_doc/realm.html)** (Google Research 에서) Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat and Ming-Wei Chang 의 [REALM: Retrieval-Augmented Language Model Pre-Training](https://arxiv.org/abs/2002.08909) 논문과 함께 발표했습니다.
1. **[Reformer](https://huggingface.co/docs/transformers/model_doc/reformer)** (Google Research 에서) Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya 의 [Reformer: The Efficient Transformer](https://arxiv.org/abs/2001.04451) 논문과 함께 발표했습니다.