Model card for efficientvit m5.r224 in1k An EfficientViT (MSRA) image classification model. Trained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 12.5 GMACs: 0.5 Activations (M): 2.4 Image size: 224 x 224 Papers: EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention: https://arxiv.org/abs/2305.07027 Dataset: ImageNet 1k Original: https://github.com/microsoft/Cream/tree/main/EfficientViT Model Usage Image Classification Feature Map Extraction Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
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