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
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README.md
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license: cc-by-nc-nd-4.0
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license: cc-by-nc-nd-4.0
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datasets:
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- peng-lab/nest
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language:
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- en
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metrics:
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- spearmanr
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- pearsonr
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- mse
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base_model:
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- bioptimus/H-optimus-1
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- bioptimus/H0-mini
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- MahmoodLab/UNI2-h
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- paige-ai/Virchow2
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pipeline_tag: zero-shot-classification
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tags:
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- spatial-transcriptomics
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