codeShare/workspace
wdv3-timm small example thing showing how to use timm to run the WD Tagger V3 models. How To Use clone the repository and enter the directory: git clone https://github.com/neggles/wdv3-timm.git cd wd3-timm Create a virtual environment and install the Python requirements. If you're using Linux, you can use the provided script: bash setup.sh Or if you're on Windows (or just want to do it manually), you can do the following: # Create virtual environment… See the full description on the dataset page: https://huggingface.co/datasets/codeShare/workspace.
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1diffusers2huggingface-hub3numpy4pandas5pillow >= 9.5.06simple-parsing >= 0.1.57timm @ git+https://github.com/huggingface/pytorch-image-models@main#egg=timm8tokenizers9torch >= 2.0.010torchvision11transformers12 