Add MobileViTv2 (#22820)
* generated code from add-new-model-like * Add code for modeling, config, and weight conversion * add tests for image-classification, update modeling and config * add code, tests for semantic-segmentation * make style, make quality, make fix-copies * make fix-copies * Update modeling_mobilevitv2.py fix bugs * Update _toctree.yml * update modeling, config fix bugs * Edit docs - fix bug MobileViTv2v2 -> MobileViTv2 * Update mobilevitv2.mdx * update docstrings * Update configuration_mobilevitv2.py make style * Update convert_mlcvnets_to_pytorch.py remove unused options * Update convert_mlcvnets_to_pytorch.py make style * Add suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make style, make quality * Add suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add suggestions from code review Remove MobileViTv2ImageProcessor Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make style * Add suggestions from code review Rename MobileViTv2 -> MobileViTV2 Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update modeling_mobilevitv2.py make style * Update serialization.mdx * Update modeling_mobilevitv2.py --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -415,6 +415,7 @@ Flax、PyTorch、TensorFlowをcondaでインストールする方法は、それ
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1. **[MobileNetV1](https://huggingface.co/docs/transformers/model_doc/mobilenet_v1)** (Google Inc. から) Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam から公開された研究論文: [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://arxiv.org/abs/1704.04861)
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1. **[MobileNetV2](https://huggingface.co/docs/transformers/model_doc/mobilenet_v2)** (Google Inc. から) Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen から公開された研究論文: [MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381)
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1. **[MobileViT](https://huggingface.co/docs/transformers/model_doc/mobilevit)** (Apple から) Sachin Mehta and Mohammad Rastegari から公開された研究論文: [MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer](https://arxiv.org/abs/2110.02178)
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1. **[MobileViTV2](https://huggingface.co/docs/transformers/main/model_doc/mobilevitv2)** (Apple から) Sachin Mehta and Mohammad Rastegari. から公開された研究論文 [Separable Self-attention for Mobile Vision Transformers](https://arxiv.org/abs/2206.02680)
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1. **[MPNet](https://huggingface.co/docs/transformers/model_doc/mpnet)** (Microsoft Research から) Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu から公開された研究論文: [MPNet: Masked and Permuted Pre-training for Language Understanding](https://arxiv.org/abs/2004.09297)
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1. **[MT5](https://huggingface.co/docs/transformers/model_doc/mt5)** (Google AI から) Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel から公開された研究論文: [mT5: A massively multilingual pre-trained text-to-text transformer](https://arxiv.org/abs/2010.11934)
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1. **[MVP](https://huggingface.co/docs/transformers/model_doc/mvp)** (RUC AI Box から) Tianyi Tang, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen から公開された研究論文: [MVP: Multi-task Supervised Pre-training for Natural Language Generation](https://arxiv.org/abs/2206.12131)
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