Create README.md

README.md

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+---
+datasets:
+- gaunernst/ms1mv3-recordio
+library_name: timm
+tags:
+- image-feature-extraction
+- timm
+---
+
+# Model card for gaunernst/convnext_nano.cosface_ms1mv3
+
+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`.
+
+## Usage
+
+```python
+import timm
+import torch.nn.functional as F
+
+model = timm.create_model("hf_hub:gaunernst/convnext_nano.cosface_ms1mv3", pretrained=True).eval()
+embs = model(torch.randn(1, 3, 112, 112))  # output shape (1, 512)
+embs = F.normalize(embs, dim=1)  # model output is not normalized
+```