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# Neighborhood Attention
Nat Base In1k 224
MIT
NAT-Base is a Vision Transformer model trained on ImageNet-1K, which uses the neighborhood attention mechanism for image classification.
Image Classification
Transformers Other
Transformers OtherN
shi-labs
6
0
Nat Mini In1k 224
MIT
NAT-Mini is a lightweight vision Transformer model based on neighborhood attention mechanism, designed for ImageNet image classification tasks
Image Classification Transformers Other
Transformers OtherN
shi-labs
109
0
Dinat Mini In1k 224
MIT
DiNAT-Mini is a hierarchical vision Transformer model based on neighborhood attention mechanism, specifically designed for image classification tasks.
Image Classification Transformers
TransformersD
shi-labs
462
1
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