From 888c4a2ae02fb4e6c4b53a4e6eb0b973a771362f Mon Sep 17 00:00:00 2001 From: Sylvain Gugger Date: Wed, 12 Apr 2023 20:04:29 -0400 Subject: [PATCH] v4.29.0.dev0 --- README.md | 16 ++++++++-------- examples/flax/question-answering/run_qa.py | 2 +- .../flax/text-classification/run_flax_glue.py | 2 +- .../flax/token-classification/run_flax_ner.py | 2 +- .../run_audio_classification.py | 2 +- .../pytorch/contrastive-image-text/run_clip.py | 2 +- .../run_image_classification.py | 2 +- .../run_image_classification_no_trainer.py | 2 +- examples/pytorch/image-pretraining/run_mae.py | 2 +- examples/pytorch/image-pretraining/run_mim.py | 2 +- examples/pytorch/language-modeling/run_clm.py | 2 +- .../language-modeling/run_clm_no_trainer.py | 2 +- examples/pytorch/language-modeling/run_mlm.py | 2 +- .../language-modeling/run_mlm_no_trainer.py | 2 +- examples/pytorch/language-modeling/run_plm.py | 2 +- examples/pytorch/multiple-choice/run_swag.py | 2 +- .../multiple-choice/run_swag_no_trainer.py | 2 +- examples/pytorch/question-answering/run_qa.py | 2 +- .../question-answering/run_qa_beam_search.py | 2 +- .../run_qa_beam_search_no_trainer.py | 2 +- .../question-answering/run_qa_no_trainer.py | 2 +- .../pytorch/question-answering/run_seq2seq_qa.py | 2 +- .../run_semantic_segmentation.py | 2 +- .../run_semantic_segmentation_no_trainer.py | 2 +- .../run_speech_recognition_ctc.py | 2 +- .../run_speech_recognition_seq2seq.py | 2 +- .../pytorch/summarization/run_summarization.py | 2 +- .../run_summarization_no_trainer.py | 2 +- examples/pytorch/text-classification/run_glue.py | 2 +- .../text-classification/run_glue_no_trainer.py | 2 +- examples/pytorch/text-classification/run_xnli.py | 2 +- examples/pytorch/token-classification/run_ner.py | 2 +- .../token-classification/run_ner_no_trainer.py | 2 +- examples/pytorch/translation/run_translation.py | 2 +- .../translation/run_translation_no_trainer.py | 2 +- .../contrastive-image-text/run_clip.py | 2 +- .../run_image_classification.py | 2 +- examples/tensorflow/multiple-choice/run_swag.py | 2 +- examples/tensorflow/question-answering/run_qa.py | 2 +- .../summarization/run_summarization.py | 2 +- .../tensorflow/text-classification/run_glue.py | 2 +- .../tensorflow/translation/run_translation.py | 2 +- setup.py | 2 +- src/transformers/__init__.py | 2 +- 44 files changed, 51 insertions(+), 51 deletions(-) diff --git a/README.md b/README.md index 317073c53e8..d6a4f5ef004 100644 --- a/README.md +++ b/README.md @@ -310,7 +310,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[ConvNeXT](https://huggingface.co/docs/transformers/model_doc/convnext)** (from Facebook AI) released with the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie. 1. **[ConvNeXTV2](https://huggingface.co/docs/transformers/model_doc/convnextv2)** (from Facebook AI) released with the paper [ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders](https://arxiv.org/abs/2301.00808) by Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie. 1. **[CPM](https://huggingface.co/docs/transformers/model_doc/cpm)** (from Tsinghua University) released with the paper [CPM: A Large-scale Generative Chinese Pre-trained Language Model](https://arxiv.org/abs/2012.00413) by Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun. -1. **[CPM-Ant](https://huggingface.co/docs/transformers/main/model_doc/cpmant)** (from OpenBMB) released by the [OpenBMB](https://www.openbmb.org/). +1. **[CPM-Ant](https://huggingface.co/docs/transformers/model_doc/cpmant)** (from OpenBMB) released by the [OpenBMB](https://www.openbmb.org/). 1. **[CTRL](https://huggingface.co/docs/transformers/model_doc/ctrl)** (from Salesforce) released with the paper [CTRL: A Conditional Transformer Language Model for Controllable Generation](https://arxiv.org/abs/1909.05858) by Nitish Shirish Keskar*, Bryan McCann*, Lav R. Varshney, Caiming Xiong and Richard Socher. 1. **[CvT](https://huggingface.co/docs/transformers/model_doc/cvt)** (from Microsoft) released with the paper [CvT: Introducing Convolutions to Vision Transformers](https://arxiv.org/abs/2103.15808) by Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang. 1. **[Data2Vec](https://huggingface.co/docs/transformers/model_doc/data2vec)** (from Facebook) released with the paper [Data2Vec: A General Framework for Self-supervised Learning in Speech, Vision and Language](https://arxiv.org/abs/2202.03555) by Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli. @@ -319,7 +319,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[Decision Transformer](https://huggingface.co/docs/transformers/model_doc/decision_transformer)** (from Berkeley/Facebook/Google) released with the paper [Decision Transformer: Reinforcement Learning via Sequence Modeling](https://arxiv.org/abs/2106.01345) by Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch. 1. **[Deformable DETR](https://huggingface.co/docs/transformers/model_doc/deformable_detr)** (from SenseTime Research) released with the paper [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://arxiv.org/abs/2010.04159) by Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai. 1. **[DeiT](https://huggingface.co/docs/transformers/model_doc/deit)** (from Facebook) released with the paper [Training data-efficient image transformers & distillation through attention](https://arxiv.org/abs/2012.12877) by Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou. -1. **[DePlot](https://huggingface.co/docs/transformers/main/model_doc/deplot)** (from Google AI) released with the paper [DePlot: One-shot visual language reasoning by plot-to-table translation](https://arxiv.org/abs/2212.10505) by Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun. +1. **[DePlot](https://huggingface.co/docs/transformers/model_doc/deplot)** (from Google AI) released with the paper [DePlot: One-shot visual language reasoning by plot-to-table translation](https://arxiv.org/abs/2212.10505) by Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun. 1. **[DETA](https://huggingface.co/docs/transformers/model_doc/deta)** (from The University of Texas at Austin) released with the paper [NMS Strikes Back](https://arxiv.org/abs/2212.06137) by Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl. 1. **[DETR](https://huggingface.co/docs/transformers/model_doc/detr)** (from Facebook) released with the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko. 1. **[DialoGPT](https://huggingface.co/docs/transformers/model_doc/dialogpt)** (from Microsoft Research) released with the paper [DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation](https://arxiv.org/abs/1911.00536) by Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan. @@ -351,7 +351,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2)** (from OpenAI) released with the paper [Language Models are Unsupervised Multitask Learners](https://blog.openai.com/better-language-models/) by Alec Radford*, Jeffrey Wu*, Rewon Child, David Luan, Dario Amodei** and Ilya Sutskever**. 1. **[GPT-J](https://huggingface.co/docs/transformers/model_doc/gptj)** (from EleutherAI) released in the repository [kingoflolz/mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax/) by Ben Wang and Aran Komatsuzaki. 1. **[GPT-Sw3](https://huggingface.co/docs/transformers/model_doc/gpt-sw3)** (from AI-Sweden) released with the paper [Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish](http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.376.pdf) by Ariel Ekgren, Amaru Cuba Gyllensten, Evangelia Gogoulou, Alice Heiman, Severine Verlinden, Joey Öhman, Fredrik Carlsson, Magnus Sahlgren. -1. **[GPTBigCode](https://huggingface.co/docs/transformers/main/model_doc/gpt_bigcode)** (from BigCode) released with the paper [SantaCoder: don't reach for the stars!](https://arxiv.org/abs/2301.03988) by Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra. +1. **[GPTBigCode](https://huggingface.co/docs/transformers/model_doc/gpt_bigcode)** (from BigCode) released with the paper [SantaCoder: don't reach for the stars!](https://arxiv.org/abs/2301.03988) by Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra. 1. **[GPTSAN-japanese](https://huggingface.co/docs/transformers/model_doc/gptsan-japanese)** released in the repository [tanreinama/GPTSAN](https://github.com/tanreinama/GPTSAN/blob/main/report/model.md) by Toshiyuki Sakamoto(tanreinama). 1. **[Graphormer](https://huggingface.co/docs/transformers/model_doc/graphormer)** (from Microsoft) released with the paper [Do Transformers Really Perform Bad for Graph Representation?](https://arxiv.org/abs/2106.05234) by Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu. 1. **[GroupViT](https://huggingface.co/docs/transformers/model_doc/groupvit)** (from UCSD, NVIDIA) released with the paper [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094) by Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang. @@ -367,7 +367,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[LED](https://huggingface.co/docs/transformers/model_doc/led)** (from AllenAI) released with the paper [Longformer: The Long-Document Transformer](https://arxiv.org/abs/2004.05150) by Iz Beltagy, Matthew E. Peters, Arman Cohan. 1. **[LeViT](https://huggingface.co/docs/transformers/model_doc/levit)** (from Meta AI) released with the paper [LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference](https://arxiv.org/abs/2104.01136) by Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze. 1. **[LiLT](https://huggingface.co/docs/transformers/model_doc/lilt)** (from South China University of Technology) released with the paper [LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding](https://arxiv.org/abs/2202.13669) by Jiapeng Wang, Lianwen Jin, Kai Ding. -1. **[LLaMA](https://huggingface.co/docs/transformers/main/model_doc/llama)** (from The FAIR team of Meta AI) released with the paper [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) by Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample. +1. **[LLaMA](https://huggingface.co/docs/transformers/model_doc/llama)** (from The FAIR team of Meta AI) released with the paper [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) by Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample. 1. **[Longformer](https://huggingface.co/docs/transformers/model_doc/longformer)** (from AllenAI) released with the paper [Longformer: The Long-Document Transformer](https://arxiv.org/abs/2004.05150) by Iz Beltagy, Matthew E. Peters, Arman Cohan. 1. **[LongT5](https://huggingface.co/docs/transformers/model_doc/longt5)** (from Google AI) released with the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/abs/2112.07916) by Mandy Guo, Joshua Ainslie, David Uthus, Santiago Ontanon, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang. 1. **[LUKE](https://huggingface.co/docs/transformers/model_doc/luke)** (from Studio Ousia) released with the paper [LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](https://arxiv.org/abs/2010.01057) by Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji Matsumoto. @@ -378,10 +378,10 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[MarkupLM](https://huggingface.co/docs/transformers/model_doc/markuplm)** (from Microsoft Research Asia) released with the paper [MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding](https://arxiv.org/abs/2110.08518) by Junlong Li, Yiheng Xu, Lei Cui, Furu Wei. 1. **[Mask2Former](https://huggingface.co/docs/transformers/model_doc/mask2former)** (from FAIR and UIUC) released with the paper [Masked-attention Mask Transformer for Universal Image Segmentation](https://arxiv.org/abs/2112.01527) by Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar. 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. **[MatCha](https://huggingface.co/docs/transformers/main/model_doc/matcha)** (from Google AI) released with the paper [MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering](https://arxiv.org/abs/2212.09662) by Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos. +1. **[MatCha](https://huggingface.co/docs/transformers/model_doc/matcha)** (from Google AI) released with the paper [MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering](https://arxiv.org/abs/2212.09662) by Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos. 1. **[mBART](https://huggingface.co/docs/transformers/model_doc/mbart)** (from Facebook) released with the paper [Multilingual Denoising Pre-training for Neural Machine Translation](https://arxiv.org/abs/2001.08210) by Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer. 1. **[mBART-50](https://huggingface.co/docs/transformers/model_doc/mbart)** (from Facebook) released with the paper [Multilingual Translation with Extensible Multilingual Pretraining and Finetuning](https://arxiv.org/abs/2008.00401) by Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan. -1. **[MEGA](https://huggingface.co/docs/transformers/main/model_doc/mega)** (from Facebook) released with the paper [Mega: Moving Average Equipped Gated Attention](https://arxiv.org/abs/2209.10655) by Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, and Luke Zettlemoyer. +1. **[MEGA](https://huggingface.co/docs/transformers/model_doc/mega)** (from Facebook) released with the paper [Mega: Moving Average Equipped Gated Attention](https://arxiv.org/abs/2209.10655) by Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, and Luke Zettlemoyer. 1. **[Megatron-BERT](https://huggingface.co/docs/transformers/model_doc/megatron-bert)** (from NVIDIA) released with the paper [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/abs/1909.08053) by Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper and Bryan Catanzaro. 1. **[Megatron-GPT2](https://huggingface.co/docs/transformers/model_doc/megatron_gpt2)** (from NVIDIA) released with the paper [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/abs/1909.08053) by Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper and Bryan Catanzaro. 1. **[MGP-STR](https://huggingface.co/docs/transformers/model_doc/mgp-str)** (from Alibaba Research) released with the paper [Multi-Granularity Prediction for Scene Text Recognition](https://arxiv.org/abs/2209.03592) by Peng Wang, Cheng Da, and Cong Yao. @@ -396,7 +396,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[NAT](https://huggingface.co/docs/transformers/model_doc/nat)** (from SHI Labs) released with the paper [Neighborhood Attention Transformer](https://arxiv.org/abs/2204.07143) by Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi. 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/main/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. **[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. **[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. **[OPT](https://huggingface.co/docs/transformers/master/model_doc/opt)** (from Meta AI) released with the paper [OPT: Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) by Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen et al. @@ -405,7 +405,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h 1. **[PEGASUS-X](https://huggingface.co/docs/transformers/model_doc/pegasus_x)** (from Google) released with the paper [Investigating Efficiently Extending Transformers for Long Input Summarization](https://arxiv.org/abs/2208.04347) by Jason Phang, Yao Zhao, and Peter J. Liu. 1. **[Perceiver IO](https://huggingface.co/docs/transformers/model_doc/perceiver)** (from Deepmind) released with the paper [Perceiver IO: A General Architecture for Structured Inputs & Outputs](https://arxiv.org/abs/2107.14795) by Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira. 1. **[PhoBERT](https://huggingface.co/docs/transformers/model_doc/phobert)** (from VinAI Research) released with the paper [PhoBERT: Pre-trained language models for Vietnamese](https://www.aclweb.org/anthology/2020.findings-emnlp.92/) by Dat Quoc Nguyen and Anh Tuan Nguyen. -1. **[Pix2Struct](https://huggingface.co/docs/transformers/main/model_doc/pix2struct)** (from Google) released with the paper [Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding](https://arxiv.org/abs/2210.03347) by Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova. +1. **[Pix2Struct](https://huggingface.co/docs/transformers/model_doc/pix2struct)** (from Google) released with the paper [Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding](https://arxiv.org/abs/2210.03347) by Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova. 1. **[PLBart](https://huggingface.co/docs/transformers/model_doc/plbart)** (from UCLA NLP) released with the paper [Unified Pre-training for Program Understanding and Generation](https://arxiv.org/abs/2103.06333) by Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang. 1. **[PoolFormer](https://huggingface.co/docs/transformers/model_doc/poolformer)** (from Sea AI Labs) released with the paper [MetaFormer is Actually What You Need for Vision](https://arxiv.org/abs/2111.11418) by Yu, Weihao and Luo, Mi and Zhou, Pan and Si, Chenyang and Zhou, Yichen and Wang, Xinchao and Feng, Jiashi and Yan, Shuicheng. 1. **[ProphetNet](https://huggingface.co/docs/transformers/model_doc/prophetnet)** (from Microsoft Research) released with the paper [ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training](https://arxiv.org/abs/2001.04063) by Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang and Ming Zhou. diff --git a/examples/flax/question-answering/run_qa.py b/examples/flax/question-answering/run_qa.py index 86cd87f233c..5a9f5eb16e0 100644 --- a/examples/flax/question-answering/run_qa.py +++ b/examples/flax/question-answering/run_qa.py @@ -61,7 +61,7 @@ from transformers.utils import check_min_version, get_full_repo_name, send_examp logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") Array = Any Dataset = datasets.arrow_dataset.Dataset diff --git a/examples/flax/text-classification/run_flax_glue.py b/examples/flax/text-classification/run_flax_glue.py index 4f1019a5c4c..ffd98152d77 100755 --- a/examples/flax/text-classification/run_flax_glue.py +++ b/examples/flax/text-classification/run_flax_glue.py @@ -54,7 +54,7 @@ from transformers.utils import check_min_version, get_full_repo_name, send_examp logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") Array = Any Dataset = datasets.arrow_dataset.Dataset diff --git a/examples/flax/token-classification/run_flax_ner.py b/examples/flax/token-classification/run_flax_ner.py index f167cad2290..8e038ac1367 100644 --- a/examples/flax/token-classification/run_flax_ner.py +++ b/examples/flax/token-classification/run_flax_ner.py @@ -55,7 +55,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/token-classification/requirements.txt") diff --git a/examples/pytorch/audio-classification/run_audio_classification.py b/examples/pytorch/audio-classification/run_audio_classification.py index 2333b08b583..e9beb8dcf91 100644 --- a/examples/pytorch/audio-classification/run_audio_classification.py +++ b/examples/pytorch/audio-classification/run_audio_classification.py @@ -45,7 +45,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.14.0", "To fix: pip install -r examples/pytorch/audio-classification/requirements.txt") diff --git a/examples/pytorch/contrastive-image-text/run_clip.py b/examples/pytorch/contrastive-image-text/run_clip.py index 749582b782e..2121602ec3e 100644 --- a/examples/pytorch/contrastive-image-text/run_clip.py +++ b/examples/pytorch/contrastive-image-text/run_clip.py @@ -54,7 +54,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/contrastive-image-text/requirements.txt") diff --git a/examples/pytorch/image-classification/run_image_classification.py b/examples/pytorch/image-classification/run_image_classification.py index e419028e70e..4b4fee5b517 100644 --- a/examples/pytorch/image-classification/run_image_classification.py +++ b/examples/pytorch/image-classification/run_image_classification.py @@ -55,7 +55,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/image-classification/requirements.txt") diff --git a/examples/pytorch/image-classification/run_image_classification_no_trainer.py b/examples/pytorch/image-classification/run_image_classification_no_trainer.py index 33e96a1656f..e3069943543 100644 --- a/examples/pytorch/image-classification/run_image_classification_no_trainer.py +++ b/examples/pytorch/image-classification/run_image_classification_no_trainer.py @@ -47,7 +47,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) diff --git a/examples/pytorch/image-pretraining/run_mae.py b/examples/pytorch/image-pretraining/run_mae.py index c1f6ba26a42..3f7ef47c6a6 100644 --- a/examples/pytorch/image-pretraining/run_mae.py +++ b/examples/pytorch/image-pretraining/run_mae.py @@ -43,7 +43,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/image-pretraining/requirements.txt") diff --git a/examples/pytorch/image-pretraining/run_mim.py b/examples/pytorch/image-pretraining/run_mim.py index 0997858901e..874b7c65124 100644 --- a/examples/pytorch/image-pretraining/run_mim.py +++ b/examples/pytorch/image-pretraining/run_mim.py @@ -48,7 +48,7 @@ Any model supported by the AutoModelForMaskedImageModeling API can be used. logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/image-pretraining/requirements.txt") diff --git a/examples/pytorch/language-modeling/run_clm.py b/examples/pytorch/language-modeling/run_clm.py index 619697f9b49..020a6f10dde 100755 --- a/examples/pytorch/language-modeling/run_clm.py +++ b/examples/pytorch/language-modeling/run_clm.py @@ -55,7 +55,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") diff --git a/examples/pytorch/language-modeling/run_clm_no_trainer.py b/examples/pytorch/language-modeling/run_clm_no_trainer.py index a62a0267bf1..4bb750a0b02 100755 --- a/examples/pytorch/language-modeling/run_clm_no_trainer.py +++ b/examples/pytorch/language-modeling/run_clm_no_trainer.py @@ -57,7 +57,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) diff --git a/examples/pytorch/language-modeling/run_mlm.py b/examples/pytorch/language-modeling/run_mlm.py index b8336fedce0..7b8d6798025 100755 --- a/examples/pytorch/language-modeling/run_mlm.py +++ b/examples/pytorch/language-modeling/run_mlm.py @@ -53,7 +53,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") diff --git a/examples/pytorch/language-modeling/run_mlm_no_trainer.py b/examples/pytorch/language-modeling/run_mlm_no_trainer.py index c67535edb26..9334de8c033 100755 --- a/examples/pytorch/language-modeling/run_mlm_no_trainer.py +++ b/examples/pytorch/language-modeling/run_mlm_no_trainer.py @@ -57,7 +57,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") diff --git a/examples/pytorch/language-modeling/run_plm.py b/examples/pytorch/language-modeling/run_plm.py index 06ab1f29f86..ab955d5b941 100755 --- a/examples/pytorch/language-modeling/run_plm.py +++ b/examples/pytorch/language-modeling/run_plm.py @@ -47,7 +47,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") diff --git a/examples/pytorch/multiple-choice/run_swag.py b/examples/pytorch/multiple-choice/run_swag.py index 934b77d503e..a0660f0085f 100755 --- a/examples/pytorch/multiple-choice/run_swag.py +++ b/examples/pytorch/multiple-choice/run_swag.py @@ -47,7 +47,7 @@ from transformers.utils import PaddingStrategy, check_min_version, send_example_ # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = logging.getLogger(__name__) diff --git a/examples/pytorch/multiple-choice/run_swag_no_trainer.py b/examples/pytorch/multiple-choice/run_swag_no_trainer.py index f4a358719a5..6d3987c8feb 100755 --- a/examples/pytorch/multiple-choice/run_swag_no_trainer.py +++ b/examples/pytorch/multiple-choice/run_swag_no_trainer.py @@ -56,7 +56,7 @@ from transformers.utils import PaddingStrategy, check_min_version, get_full_repo # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) # You should update this to your particular problem to have better documentation of `model_type` diff --git a/examples/pytorch/question-answering/run_qa.py b/examples/pytorch/question-answering/run_qa.py index e6a1d421b9a..d3377611bdf 100755 --- a/examples/pytorch/question-answering/run_qa.py +++ b/examples/pytorch/question-answering/run_qa.py @@ -49,7 +49,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/question-answering/requirements.txt") diff --git a/examples/pytorch/question-answering/run_qa_beam_search.py b/examples/pytorch/question-answering/run_qa_beam_search.py index 5321d184af2..fc4b0e0288b 100755 --- a/examples/pytorch/question-answering/run_qa_beam_search.py +++ b/examples/pytorch/question-answering/run_qa_beam_search.py @@ -48,7 +48,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/question-answering/requirements.txt") diff --git a/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py b/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py index fa59a241422..ba7e82cc647 100644 --- a/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py +++ b/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py @@ -56,7 +56,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/question-answering/requirements.txt") diff --git a/examples/pytorch/question-answering/run_qa_no_trainer.py b/examples/pytorch/question-answering/run_qa_no_trainer.py index 21db900c65b..67d9fb8b455 100755 --- a/examples/pytorch/question-answering/run_qa_no_trainer.py +++ b/examples/pytorch/question-answering/run_qa_no_trainer.py @@ -57,7 +57,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/question-answering/requirements.txt") diff --git a/examples/pytorch/question-answering/run_seq2seq_qa.py b/examples/pytorch/question-answering/run_seq2seq_qa.py index da56580472f..3c0ac4dfbc2 100644 --- a/examples/pytorch/question-answering/run_seq2seq_qa.py +++ b/examples/pytorch/question-answering/run_seq2seq_qa.py @@ -46,7 +46,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/question-answering/requirements.txt") diff --git a/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py b/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py index b5037553557..e1027f5d67b 100644 --- a/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py +++ b/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py @@ -51,7 +51,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=2.0.0", "To fix: pip install -r examples/pytorch/semantic-segmentation/requirements.txt") diff --git a/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py b/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py index 791291dd356..00d115646ac 100644 --- a/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py +++ b/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py @@ -50,7 +50,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) diff --git a/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py b/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py index a702e460aae..8c4f4352489 100755 --- a/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py +++ b/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py @@ -51,7 +51,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.18.0", "To fix: pip install -r examples/pytorch/speech-recognition/requirements.txt") diff --git a/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py b/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py index 79826f0d9db..419be107b16 100755 --- a/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py +++ b/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py @@ -48,7 +48,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.18.0", "To fix: pip install -r examples/pytorch/speech-recognition/requirements.txt") diff --git a/examples/pytorch/summarization/run_summarization.py b/examples/pytorch/summarization/run_summarization.py index c2e0a6828c8..e083e68848e 100755 --- a/examples/pytorch/summarization/run_summarization.py +++ b/examples/pytorch/summarization/run_summarization.py @@ -52,7 +52,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/summarization/requirements.txt") diff --git a/examples/pytorch/summarization/run_summarization_no_trainer.py b/examples/pytorch/summarization/run_summarization_no_trainer.py index e0c4b313ad7..37ea3bcfbb9 100644 --- a/examples/pytorch/summarization/run_summarization_no_trainer.py +++ b/examples/pytorch/summarization/run_summarization_no_trainer.py @@ -56,7 +56,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/summarization/requirements.txt") diff --git a/examples/pytorch/text-classification/run_glue.py b/examples/pytorch/text-classification/run_glue.py index f05967f8baf..1bb4c7bee7b 100755 --- a/examples/pytorch/text-classification/run_glue.py +++ b/examples/pytorch/text-classification/run_glue.py @@ -48,7 +48,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/text-classification/requirements.txt") diff --git a/examples/pytorch/text-classification/run_glue_no_trainer.py b/examples/pytorch/text-classification/run_glue_no_trainer.py index 71c3686f676..c71581f7811 100644 --- a/examples/pytorch/text-classification/run_glue_no_trainer.py +++ b/examples/pytorch/text-classification/run_glue_no_trainer.py @@ -48,7 +48,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) diff --git a/examples/pytorch/text-classification/run_xnli.py b/examples/pytorch/text-classification/run_xnli.py index 871fa3013cf..88139986b28 100755 --- a/examples/pytorch/text-classification/run_xnli.py +++ b/examples/pytorch/text-classification/run_xnli.py @@ -48,7 +48,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/text-classification/requirements.txt") diff --git a/examples/pytorch/token-classification/run_ner.py b/examples/pytorch/token-classification/run_ner.py index af71ade1162..9e5dd8d31bd 100755 --- a/examples/pytorch/token-classification/run_ner.py +++ b/examples/pytorch/token-classification/run_ner.py @@ -49,7 +49,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/token-classification/requirements.txt") diff --git a/examples/pytorch/token-classification/run_ner_no_trainer.py b/examples/pytorch/token-classification/run_ner_no_trainer.py index d76ee33ebc0..80031283944 100755 --- a/examples/pytorch/token-classification/run_ner_no_trainer.py +++ b/examples/pytorch/token-classification/run_ner_no_trainer.py @@ -55,7 +55,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/token-classification/requirements.txt") diff --git a/examples/pytorch/translation/run_translation.py b/examples/pytorch/translation/run_translation.py index 9cac8736175..d31a6a8ca03 100755 --- a/examples/pytorch/translation/run_translation.py +++ b/examples/pytorch/translation/run_translation.py @@ -52,7 +52,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/translation/requirements.txt") diff --git a/examples/pytorch/translation/run_translation_no_trainer.py b/examples/pytorch/translation/run_translation_no_trainer.py index 8c29db4d6db..29f3e49f0a0 100644 --- a/examples/pytorch/translation/run_translation_no_trainer.py +++ b/examples/pytorch/translation/run_translation_no_trainer.py @@ -57,7 +57,7 @@ from transformers.utils.versions import require_version # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = get_logger(__name__) require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/translation/requirements.txt") diff --git a/examples/tensorflow/contrastive-image-text/run_clip.py b/examples/tensorflow/contrastive-image-text/run_clip.py index 4f7177b8f0b..35359a2fa70 100644 --- a/examples/tensorflow/contrastive-image-text/run_clip.py +++ b/examples/tensorflow/contrastive-image-text/run_clip.py @@ -51,7 +51,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version( "datasets>=1.8.0", "To fix: pip install -r examples/tensorflow/contrastive-image-text/requirements.txt" diff --git a/examples/tensorflow/image-classification/run_image_classification.py b/examples/tensorflow/image-classification/run_image_classification.py index 7e68a02986e..105d5c80567 100644 --- a/examples/tensorflow/image-classification/run_image_classification.py +++ b/examples/tensorflow/image-classification/run_image_classification.py @@ -54,7 +54,7 @@ from transformers.utils.versions import require_version logger = logging.getLogger(__name__) # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/image-classification/requirements.txt") diff --git a/examples/tensorflow/multiple-choice/run_swag.py b/examples/tensorflow/multiple-choice/run_swag.py index d4b5955b408..9c6a90f1dc1 100644 --- a/examples/tensorflow/multiple-choice/run_swag.py +++ b/examples/tensorflow/multiple-choice/run_swag.py @@ -50,7 +50,7 @@ from transformers.utils import PaddingStrategy, check_min_version, send_example_ # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = logging.getLogger(__name__) diff --git a/examples/tensorflow/question-answering/run_qa.py b/examples/tensorflow/question-answering/run_qa.py index bcc7b24f233..7059a9a0321 100755 --- a/examples/tensorflow/question-answering/run_qa.py +++ b/examples/tensorflow/question-answering/run_qa.py @@ -48,7 +48,7 @@ from transformers.utils import CONFIG_NAME, TF2_WEIGHTS_NAME, check_min_version, # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") logger = logging.getLogger(__name__) diff --git a/examples/tensorflow/summarization/run_summarization.py b/examples/tensorflow/summarization/run_summarization.py index e2b19746d80..b60a2129166 100644 --- a/examples/tensorflow/summarization/run_summarization.py +++ b/examples/tensorflow/summarization/run_summarization.py @@ -53,7 +53,7 @@ from transformers.utils.versions import require_version # region Checking dependencies # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/summarization/requirements.txt") diff --git a/examples/tensorflow/text-classification/run_glue.py b/examples/tensorflow/text-classification/run_glue.py index 09936a31900..8aa3d4c7fe8 100644 --- a/examples/tensorflow/text-classification/run_glue.py +++ b/examples/tensorflow/text-classification/run_glue.py @@ -47,7 +47,7 @@ from transformers.utils import check_min_version, send_example_telemetry # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") task_to_keys = { "cola": ("sentence", None), diff --git a/examples/tensorflow/translation/run_translation.py b/examples/tensorflow/translation/run_translation.py index 43f13bd0a56..5f45f752c50 100644 --- a/examples/tensorflow/translation/run_translation.py +++ b/examples/tensorflow/translation/run_translation.py @@ -56,7 +56,7 @@ from transformers.utils.versions import require_version # region Dependencies and constants # Will error if the minimal version of Transformers is not installed. Remove at your own risks. -check_min_version("4.28.0.dev0") +check_min_version("4.29.0.dev0") require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/summarization/requirements.txt") diff --git a/setup.py b/setup.py index d1cba0dfebf..278825a5c66 100644 --- a/setup.py +++ b/setup.py @@ -425,7 +425,7 @@ install_requires = [ setup( name="transformers", - version="4.28.0.dev0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots) + version="4.29.0.dev0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots) author="The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)", author_email="transformers@huggingface.co", description="State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow", diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py index 0fe393ddbf8..894b11c1107 100644 --- a/src/transformers/__init__.py +++ b/src/transformers/__init__.py @@ -18,7 +18,7 @@ # to defer the actual importing for when the objects are requested. This way `import transformers` provides the names # in the namespace without actually importing anything (and especially none of the backends). -__version__ = "4.28.0.dev0" +__version__ = "4.29.0.dev0" from typing import TYPE_CHECKING