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Add release note for v1.1.0

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  library_name: pytorch
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  ---
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- ![topformer_logo](resource/TopFormer.png)
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  TopFormer introduces a lightweight token–pyramid transformer that progressively merges local and global representations, achieving strong accuracy–efficiency trade-offs for mobile and edge vision tasks.
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  Original paper: [TopFormer: Token Pyramid Transformer for Mobile Vision](https://arxiv.org/abs/2204.05525)
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- #TopFormer-B
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  This model uses the TopFormer-Base variant, which balances representational capacity and computational efficiency through a hierarchical token pyramid. It is well suited for on-device image classification and as an efficient backbone for downstream tasks where low latency and power efficiency are critical.
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  library_name: pytorch
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  ---
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+ ![topformer_logo](resource/Topformer.png)
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  TopFormer introduces a lightweight token–pyramid transformer that progressively merges local and global representations, achieving strong accuracy–efficiency trade-offs for mobile and edge vision tasks.
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  Original paper: [TopFormer: Token Pyramid Transformer for Mobile Vision](https://arxiv.org/abs/2204.05525)
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+ # TopFormer-B
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  This model uses the TopFormer-Base variant, which balances representational capacity and computational efficiency through a hierarchical token pyramid. It is well suited for on-device image classification and as an efficient backbone for downstream tasks where low latency and power efficiency are critical.
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