Use HF papers (#38184)
* Use hf papers * Hugging Face papers * doi to hf papers * style
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## Overview
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The LeViT model was proposed in [LeViT: Introducing Convolutions to Vision Transformers](https://arxiv.org/abs/2104.01136) by Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze. LeViT improves the [Vision Transformer (ViT)](vit) in performance and efficiency by a few architectural differences such as activation maps with decreasing resolutions in Transformers and the introduction of an attention bias to integrate positional information.
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The LeViT model was proposed in [LeViT: Introducing Convolutions to Vision Transformers](https://huggingface.co/papers/2104.01136) by Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze. LeViT improves the [Vision Transformer (ViT)](vit) in performance and efficiency by a few architectural differences such as activation maps with decreasing resolutions in Transformers and the introduction of an attention bias to integrate positional information.
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The abstract from the paper is the following:
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@@ -40,7 +40,7 @@ to the speed/accuracy tradeoff. For example, at 80% ImageNet top-1 accuracy, LeV
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<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/levit_architecture.png"
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alt="drawing" width="600"/>
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<small> LeViT Architecture. Taken from the <a href="https://arxiv.org/abs/2104.01136">original paper</a>.</small>
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<small> LeViT Architecture. Taken from the <a href="https://huggingface.co/papers/2104.01136">original paper</a>.</small>
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This model was contributed by [anugunj](https://huggingface.co/anugunj). The original code can be found [here](https://github.com/facebookresearch/LeViT).
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