Instructions to use SmilingWolf/wd-eva02-large-tagger-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use SmilingWolf/wd-eva02-large-tagger-v3 with timm:
import timm model = timm.create_model("hf_hub:SmilingWolf/wd-eva02-large-tagger-v3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b209560243c21be8f357c16f88309a3acc268ece44adb8d390010e2496ee5fd
- Size of remote file:
- 1.26 GB
- SHA256:
- 0843c6a7706f52ec55c97c1eab40753928937883312361f1dda899abd5076c15
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