Instructions to use nates-test-org/coat_lite_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nates-test-org/coat_lite_small with timm:
import timm model = timm.create_model("hf_hub:nates-test-org/coat_lite_small", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nates-test-org/coat_lite_small: direct link, hf CLI and curl.
- Browser
- Download file 79.5 MB
-
https://huggingface.co/nates-test-org/coat_lite_small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nates-test-org/coat_lite_small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nates-test-org/coat_lite_small/resolve/main/pytorch_model.bin
79.5 MB
- Xet hash:
- f85832d37335bdf64bbfefae1ddff0e807815a8a9a88a4501bc2b7ad82d98106
- Size of remote file:
- 79.5 MB
- SHA256:
- eb53dd59e3cce5c064c8f090d0b0fd1fcbf895e664781a83986dc4fb4eccf4cd
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