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Add link to paper (#2)

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- Add link to paper (3e3e2e06fd42b3fc171d9ab82e3dbb28a5b229a1)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +1 -1
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  # Model card for moganet_xtiny_256_in1k
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- MogaNet a new family of efficient ConvNets with preferable parameter-performance trade-offs, which is trained on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [MogaNet](https://huggingface.co/papers/2211.03295) and released in [Westlake/MogaNet](https://github.com/Westlake-AI/MogaNet) and [Westlake/openmixup](https://github.com/Westlake-AI/openmixup).
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  ## Description
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  # Model card for moganet_xtiny_256_in1k
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+ MogaNet a new family of efficient ConvNets with preferable parameter-performance trade-offs, which is trained on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [MogaNet: Multi-order Gated Aggregation Network](https://huggingface.co/papers/2211.03295) and released in [Westlake/MogaNet](https://github.com/Westlake-AI/MogaNet) and [Westlake/openmixup](https://github.com/Westlake-AI/openmixup).
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  ## Description
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