Instructions to use wesjos/fairface-monkeycake-3task-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use wesjos/fairface-monkeycake-3task-224 with timm:
import timm model = timm.create_model("hf-hub:wesjos/fairface-monkeycake-3task-224", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download model.pt from wesjos/fairface-monkeycake-3task-224: direct link, hf CLI and curl.
- Browser
- Download file 2.43 GB
-
https://huggingface.co/wesjos/fairface-monkeycake-3task-224/resolve/main/model.pt
- Command line
-
hf download hf://wesjos/fairface-monkeycake-3task-224/model.pt
-
curl -L -o model.pt https://huggingface.co/wesjos/fairface-monkeycake-3task-224/resolve/main/model.pt
2.43 GB
- Xet hash:
- 67b81774fbd97984dfae14510aed3745195050049cfee0bb72842dc6a788bd76
- Size of remote file:
- 2.43 GB
- SHA256:
- 7e124c1a1e6c373efa7e1b819f3f06022c9ecff0c18a660d96bf52954b17d9fb
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