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Use HF papers (#38184)

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* Use hf papers

* Hugging Face papers

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Quentin Gallouédec
2025-06-13 13:07:09 +02:00
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@@ -30,7 +30,7 @@ You can do so by running the following command: `pip install -U transformers==4.
## Overview
NAT was proposed in [Neighborhood Attention Transformer](https://arxiv.org/abs/2204.07143)
NAT was proposed in [Neighborhood Attention Transformer](https://huggingface.co/papers/2204.07143)
by Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi.
It is a hierarchical vision transformer based on Neighborhood Attention, a sliding-window self attention pattern.
@@ -53,7 +53,7 @@ src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/ma
alt="drawing" width="600"/>
<small> Neighborhood Attention compared to other attention patterns.
Taken from the <a href="https://arxiv.org/abs/2204.07143">original paper</a>.</small>
Taken from the <a href="https://huggingface.co/papers/2204.07143">original paper</a>.</small>
This model was contributed by [Ali Hassani](https://huggingface.co/alihassanijr).
The original code can be found [here](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer).