|
--- |
|
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 |
|
``` |
|
|
