How to use from the
Use from the
timm library
import timm

model = timm.create_model("hf_hub:gustproof/dnbr-tagger-preview1", pretrained=True)

A lightweight multilabel classifier trained on an arbitrary subset of nyanko7/danbooru2023. Trained for ~40M samples at native resolution ~238x238. Decent performance for its size.

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