Instructions to use peng-lab/phoenix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use peng-lab/phoenix with timm:
import timm model = timm.create_model("hf-hub:peng-lab/phoenix", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download panels/xenium_human_colon.npy from peng-lab/phoenix: direct link, hf CLI and curl.
- Browser
- Download file 10.4 kB
-
https://huggingface.co/peng-lab/phoenix/resolve/main/panels/xenium_human_colon.npy
- Command line
-
hf download hf://peng-lab/phoenix/panels/xenium_human_colon.npy
-
curl -L -o xenium_human_colon.npy https://huggingface.co/peng-lab/phoenix/resolve/main/panels/xenium_human_colon.npy
10.4 kB
- Xet hash:
- 990f03ddac1f4e899a229c57190c6f76a74fbce4a156c11845c974434cacc384
- Size of remote file:
- 10.4 kB
- SHA256:
- 4d88c9c59fd38f51f7f9bc72753281982204ce96bd3e2f3cd3e95a1f9ab099dc
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