How to use mwalmsley/baseline-encoder-classification-resnet50 with timm:
import timm model = timm.create_model("hf-hub:mwalmsley/baseline-encoder-classification-resnet50", pretrained=True)
https://huggingface.co/mwalmsley/baseline-encoder-classification-resnet50/resolve/main/README.md
hf download hf://mwalmsley/baseline-encoder-classification-resnet50/README.md
curl -L -o README.md https://huggingface.co/mwalmsley/baseline-encoder-classification-resnet50/resolve/main/README.md
tags: - image-classification - timm library_name: timm license: apache-2.0
