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
File size: 418 Bytes
b9195d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"subset_accuracy": 0.9797979797979798,
"label_accuracy": 0.9950937950937951,
"hamming_loss": 0.004906204906204906,
"macro_precision": 0.9920701754385967,
"macro_recall": 0.9859189631845048,
"macro_f1": 0.9889388150515815,
"micro_precision": 0.9912790697674418,
"micro_recall": 0.9841269841269841,
"micro_f1": 0.9876900796524257,
"macro_auc": 0.9992512177176863,
"macro_ap": 0.9978351524589545
} |