Instructions to use charuka0/acne-multilabel-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use charuka0/acne-multilabel-classifier with timm:
import timm model = timm.create_model("hf_hub:charuka0/acne-multilabel-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add test_per_class_metrics.csv
Browse files
test_per_class_metrics.csv
ADDED
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class,support,precision,recall,f1,roc_auc,avg_precision
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Whitehead,45,1.0,1.0,1.0,1.0,1.0
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Blackhead,186,1.0,0.9946,0.9973,1.0,1.0
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Papule,155,0.9867,0.9548,0.9705,0.998,0.9954
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Pustule,151,0.9737,0.9801,0.9769,0.9983,0.9938
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Nodule,156,1.0,1.0,1.0,1.0,1.0
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