RepVGG-A0 pretrained checkpoint listed on Hugging Face
The Hugging Face model page for timm/repvgg_a0.rvgg_in1k provides pretrained RepVGG-A0 weights and loading examples for both timm and Transformers. The card says the model was trained on ImageNet-1k by the paper authors and describes it as an image-classification model and feature backbone.
The page reports 9.1 million parameters, 1.5 GMACs, 3.6 million activations, and a 224 × 224 image size. Its examples cover image classification, feature-map extraction, and image embeddings. This is a checkpoint availability and integration update for an existing architecture, not evidence of a new model design or comparative performance claim.