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+ ---
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+ datasets:
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+ - gaunernst/ms1mv3-recordio
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+ library_name: timm
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+ tags:
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+ - image-feature-extraction
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+ - timm
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+ ---
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+
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+ # Model card for gaunernst/convnext_nano.cosface_ms1mv3
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+
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+ ConvNeXt-Nano for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: https://github.com/gau-nernst/timm-face. It is fully compatible with `timm`.
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+
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+ ## Usage
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+
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+ ```python
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+ import timm
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+ import torch.nn.functional as F
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+
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+ model = timm.create_model("hf_hub:gaunernst/convnext_nano.cosface_ms1mv3", pretrained=True).eval()
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+ embs = model(torch.randn(1, 3, 112, 112)) # output shape (1, 512)
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+ embs = F.normalize(embs, dim=1) # model output is not normalized
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+ ```