Instructions to use rievil/crackenpy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rievil/crackenpy with timm:
import timm model = timm.create_model("hf_hub:rievil/crackenpy", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: image-segmentation
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base_model:
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- timm/resnext101_32x8d
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library_name:
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metrics:
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- accuracy
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- mean intersection of union
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pipeline_tag: image-segmentation
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base_model:
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library_name: timm
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metrics:
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- accuracy
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- mean intersection of union
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