Instructions to use py-feat/mobilefacenet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Py-Feat
How to use py-feat/mobilefacenet with Py-Feat:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download mobilefacenet_model_best.pth.tar from py-feat/mobilefacenet: direct link, hf CLI and curl.
- Browser
- Download file 12.3 MB
-
https://huggingface.co/py-feat/mobilefacenet/resolve/main/mobilefacenet_model_best.pth.tar
- Command line
-
hf download hf://py-feat/mobilefacenet/mobilefacenet_model_best.pth.tar
-
curl -L -o mobilefacenet_model_best.pth.tar https://huggingface.co/py-feat/mobilefacenet/resolve/main/mobilefacenet_model_best.pth.tar
12.3 MB
- Xet hash:
- 51a72c4934d4f019000b5c38ee0dae47ee6fa3480161a95cabae294a2abfbc1b
- Size of remote file:
- 12.3 MB
- SHA256:
- b994af026bfddbafc507a6f1c8737a9896bab20ed2b0cfb6ae90b81736970313
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