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_metrics.json
Browse files- test_metrics.json +13 -0
test_metrics.json
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{
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"subset_accuracy": 0.9797979797979798,
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"label_accuracy": 0.9950937950937951,
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"hamming_loss": 0.004906204906204906,
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"macro_precision": 0.9920701754385967,
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"macro_recall": 0.9859189631845048,
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"macro_f1": 0.9889388150515815,
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"micro_precision": 0.9912790697674418,
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"micro_recall": 0.9841269841269841,
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"micro_f1": 0.9876900796524257,
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"macro_auc": 0.9992512177176863,
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"macro_ap": 0.9978351524589545
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}
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