Instructions to use Bedovyy/OppaiOracle-V1.1-timm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Bedovyy/OppaiOracle-V1.1-timm with timm:
import timm model = timm.create_model("hf_hub:Bedovyy/OppaiOracle-V1.1-timm", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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# timm version of [Grio43/OppaiOracle](https://huggingface.co/Grio43/OppaiOracle/tree/main/V1.1_safetensors)
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# timm version of [Grio43/OppaiOracle](https://huggingface.co/Grio43/OppaiOracle/tree/main/V1.1_safetensors)
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timm-compatible repack of the original model. `selected_tags.csv` has been adapted to match the WD Tagger format.
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You can use it with [ComfyUI-WD-Timm-Tagger](https://github.com/bedovyy/ComfyUI-WD-Timm-Tagger).
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