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A LeViT image classification model using convolutional mode (using nn.Conv2d and nn.BatchNorm2d). Pretrained on ImageNet-1k using distillation by paper authors. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 18.9 - GMACs: 1.1 - Activations (M): 4.2 - Image size: 224 x 224 - **Papers:** - LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference: https://arxiv.org/abs/2104.01136 - **Original:** https://github.com/facebookresearch/LeViT - **Dataset:** ImageNet-1k

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