Add swiftformer (#22686)
* Commit the automatically generated code using add-new-model-like * Update description at swiftformer.mdx file * remove autogenerated code for MaskedImageModeling * update weight conversion scripts * Update modeling_swiftformer.py * update configuration_swiftformer.py * Update test_modeling_swiftformer.py * update modeling code - remove einops dependency * Update _toctree.yml * update modeling code - remove copied from comments * update docs * Revert "update docs" This reverts commit c2e05e2998fe2cd6eaee8b8cc31aca5222bac9fb. * update docs * remove unused reference SwiftFormerImageProcessor * update dependency_versions_table.py * update swiftformer.mdx * update swiftformer.mdx * change model output type - no attentions * update model org name * Fix typo * fix copies * Update tests/models/swiftformer/test_modeling_swiftformer.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/auto/image_processing_auto.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/auto/feature_extraction_auto.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/swiftformer.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/swiftformer/configuration_swiftformer.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update modeling_swiftformer.py fix-copies * make style, make quality, fix-copies * Apply suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make style 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> * Add suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fix-copies * Update modeling_swiftformer.py * Update modeling_swiftformer.py * Add suggestions from code review Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -432,6 +432,7 @@ Current number of checkpoints: ** (from Facebook), released together with the paper [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) by Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau.
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1. **[Splinter](https://huggingface.co/docs/transformers/model_doc/splinter)** (from Tel Aviv University), released together with the paper [Few-Shot Question Answering by Pretraining Span Selection](https://arxiv.org/abs/2101.00438) by Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy.
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1. **[SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert)** (from Berkeley) released with the paper [SqueezeBERT: What can computer vision teach NLP about efficient neural networks?](https://arxiv.org/abs/2006.11316) by Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, and Kurt W. Keutzer.
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1. **[SwiftFormer](https://huggingface.co/docs/transformers/main/model_doc/swiftformer)** (from MBZUAI) released with the paper [SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications](https://arxiv.org/abs/2303.15446) by Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan.
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1. **[Swin Transformer](https://huggingface.co/docs/transformers/model_doc/swin)** (from Microsoft) released with the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo.
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1. **[Swin Transformer V2](https://huggingface.co/docs/transformers/model_doc/swinv2)** (from Microsoft) released with the paper [Swin Transformer V2: Scaling Up Capacity and Resolution](https://arxiv.org/abs/2111.09883) by Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo.
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1. **[Swin2SR](https://huggingface.co/docs/transformers/model_doc/swin2sr)** (from University of Würzburg) released with the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345) by Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte.
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