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
- Xet hash:
- cc018a4b66f6135ea880025eb84a204a7eb4dfbae4b43061c5bd7dd1fc65842a
- Size of remote file:
- 22.1 MB
- SHA256:
- 07702ac8d8562006e486fa55a5fffbb95b3012536d58fdab135de5738a3839fc
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