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
Download thresholds.json from charuka0/acne-multilabel-classifier: direct link, hf CLI and curl.
- Browser
- Download file 240 Bytes
-
https://huggingface.co/charuka0/acne-multilabel-classifier/resolve/main/thresholds.json
- Command line
-
hf download hf://charuka0/acne-multilabel-classifier/thresholds.json
-
curl -L -o thresholds.json https://huggingface.co/charuka0/acne-multilabel-classifier/resolve/main/thresholds.json
240 Bytes
| { | |
| "classes": [ | |
| "Whitehead", | |
| "Blackhead", | |
| "Papule", | |
| "Pustule", | |
| "Nodule" | |
| ], | |
| "thresholds": [ | |
| 0.9300000000000002, | |
| 0.7200000000000002, | |
| 0.7500000000000002, | |
| 0.5000000000000001, | |
| 0.8200000000000002 | |
| ] | |
| } |