Instructions to use beaunix/artwork-classifier-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use beaunix/artwork-classifier-cnn with timm:
import timm model = timm.create_model("hf-hub:beaunix/artwork-classifier-cnn", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download styles_classes.json from beaunix/artwork-classifier-cnn: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/beaunix/artwork-classifier-cnn/resolve/main/styles_classes.json
- Command line
-
hf download hf://beaunix/artwork-classifier-cnn/styles_classes.json
-
curl -L -o styles_classes.json https://huggingface.co/beaunix/artwork-classifier-cnn/resolve/main/styles_classes.json
236 Bytes
| [ | |
| "Impressionism", | |
| "Realism", | |
| "Romanticism", | |
| "Post-Impressionism", | |
| "Expressionism", | |
| "Baroque", | |
| "Mannerism", | |
| "Northern-Renaissance", | |
| "Abstract", | |
| "Rococo", | |
| "Cubism", | |
| "Pop Art", | |
| "Naive", | |
| "Ukiyo-e", | |
| "Fauvism" | |
| ] |