Adding LeViT Model by Facebook (#17466)

* levit files

* levit tests

* weights script

* weights script

* update

* style fixes

* few minor corrections

* Added teacher model

* edit docs

* fix-copies

* style fixes

* pr error resolved

* Update README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/index.mdx

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* Update docs/source/en/model_doc/levit.mdx

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* Update docs/source/en/model_doc/levit.mdx

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* Update docs/source/en/model_doc/levit.mdx

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* Update docs/source/en/model_doc/levit.mdx

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* Update src/transformers/__init__.py

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* Update src/transformers/models/levit/__init__.py

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* Update src/transformers/models/levit/configuration_levit.py

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* Update src/transformers/models/levit/configuration_levit.py

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* suggested pr changes

* style fixes

* minor bug

* update

* minor doc edit

* style

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

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* Update tests/models/levit/test_modeling_levit.py

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* Update src/transformers/models/levit/modeling_levit.py

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* residual layer readable

* style

* Update docs/source/en/model_doc/levit.mdx

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* Update src/transformers/models/levit/feature_extraction_levit.py

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* Update src/transformers/models/levit/modeling_levit.py

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* Update src/transformers/models/levit/modeling_levit.py

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* Update src/transformers/models/levit/modeling_levit.py

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* Update tests/models/levit/test_feature_extraction_levit.py

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* change checkpoints and style

* update

* minor changes

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
This commit is contained in:
Anugunj Naman
2022-06-01 20:36:20 +05:30
committed by GitHub
parent 1d2b57b8a2
commit 84aaadd8c5
22 changed files with 2052 additions and 0 deletions

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@@ -286,6 +286,7 @@ conda install -c huggingface transformers
1. **[LayoutLMv3](https://huggingface.co/docs/transformers/main/model_doc/layoutlmv3)** (来自 Microsoft Research Asia) 伴随论文 [LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://arxiv.org/abs/2204.08387) 由 Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei 发布。
1. **[LayoutXLM](https://huggingface.co/docs/transformers/model_doc/layoutlmv2)** (来自 Microsoft Research Asia) 伴随论文 [LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding](https://arxiv.org/abs/2104.08836) 由 Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei 发布。
1. **[LED](https://huggingface.co/docs/transformers/model_doc/led)** (来自 AllenAI) 伴随论文 [Longformer: The Long-Document Transformer](https://arxiv.org/abs/2004.05150) 由 Iz Beltagy, Matthew E. Peters, Arman Cohan 发布。
1. **[LeViT](https://huggingface.co/docs/transformers/main/model_doc/levit)** (来自 Meta AI) 伴随论文 [LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference](https://arxiv.org/abs/2104.01136) 由 Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze 发布。
1. **[Longformer](https://huggingface.co/docs/transformers/model_doc/longformer)** (来自 AllenAI) 伴随论文 [Longformer: The Long-Document Transformer](https://arxiv.org/abs/2004.05150) 由 Iz Beltagy, Matthew E. Peters, Arman Cohan 发布。
1. **[LUKE](https://huggingface.co/docs/transformers/model_doc/luke)** (来自 Studio Ousia) 伴随论文 [LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](https://arxiv.org/abs/2010.01057) 由 Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji Matsumoto 发布。
1. **[LXMERT](https://huggingface.co/docs/transformers/model_doc/lxmert)** (来自 UNC Chapel Hill) 伴随论文 [LXMERT: Learning Cross-Modality Encoder Representations from Transformers for Open-Domain Question Answering](https://arxiv.org/abs/1908.07490) 由 Hao Tan and Mohit Bansal 发布。