Create README.md
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README.md
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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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---
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# Model card for gaunernst/vit_tiny_patch8_112.cosface_ms1mv3
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A Vision Transformer (ViT) 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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## Usage
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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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model = timm.create_model("hf_hub:gaunernst/vit_tiny_patch8_112.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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```
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