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
- Xet hash:
- 8fdfcc90d074a070f98050791df30824658a95d6fcb1d63434135785af93e379
- Size of remote file:
- 16.4 MB
- SHA256:
- 0ce02a0f85bf4ad00f37c23b64af872669d06267f238a183b66156f899ea0621
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