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
File size: 236 Bytes
64ce241 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | [
"Impressionism",
"Realism",
"Romanticism",
"Post-Impressionism",
"Expressionism",
"Baroque",
"Mannerism",
"Northern-Renaissance",
"Abstract",
"Rococo",
"Cubism",
"Pop Art",
"Naive",
"Ukiyo-e",
"Fauvism"
] |