Instructions to use SmilingWolf/wd-swinv2-tagger-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use SmilingWolf/wd-swinv2-tagger-v3 with timm:
import timm model = timm.create_model("hf_hub:SmilingWolf/wd-swinv2-tagger-v3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d9b51ebe18a35741bb511973d5440ae38309517c455613ec8ef3467195a3aa
- Size of remote file:
- 414 MB
- SHA256:
- a26ae4edbe45fa155ede34257153642b3bf476044a13e0ae6a0c4c131198f444
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