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
Upload statistics/nest/multi/cell/discrete/nest-multi-table.npz with huggingface_hub
Browse files
statistics/nest/multi/cell/discrete/nest-multi-table.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e381b1b293d1baa0f401ee894dfb627a833668dc29d863ae2ac0a51a116ca6e
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size 3516
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