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timm.1import timm
2import torch.nn.functional as F
3
4model = timm.create_model("hf_hub:gaunernst/vit_tiny_patch8_112.adaface_ms1mv3", pretrained=True).eval()
5embs = model(torch.randn(1, 3, 112, 112)) # output shape (1, 512)
6embs = F.normalize(embs, dim=1) # model output is not normalized