Instructions to use nates-test-org/coat_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nates-test-org/coat_tiny with timm:
import timm model = timm.create_model("hf-hub:nates-test-org/coat_tiny", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nates-test-org/coat_tiny: direct link, hf CLI and curl.
- Browser
- Download file 22.1 MB
-
https://huggingface.co/nates-test-org/coat_tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nates-test-org/coat_tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nates-test-org/coat_tiny/resolve/main/pytorch_model.bin
22.1 MB
- Xet hash:
- cc018a4b66f6135ea880025eb84a204a7eb4dfbae4b43061c5bd7dd1fc65842a
- Size of remote file:
- 22.1 MB
- SHA256:
- 07702ac8d8562006e486fa55a5fffbb95b3012536d58fdab135de5738a3839fc
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