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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

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
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Safetensors
Model size
15.3M params
Tensor type
F32
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Dataset used to train gaunernst/convnext_nano.cosface_ms1mv3

Collection including gaunernst/convnext_nano.cosface_ms1mv3