Instructions to use timm/vit_base_patch16_224.bamboo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_base_patch16_224.bamboo with timm:
import timm model = timm.create_model("hf-hub:timm/vit_base_patch16_224.bamboo", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download trainid2name.json from timm/vit_base_patch16_224.bamboo: direct link, hf CLI and curl.
- Browser
- Download file 4.61 MB
-
https://huggingface.co/timm/vit_base_patch16_224.bamboo/resolve/main/trainid2name.json
- Command line
-
hf download hf://timm/vit_base_patch16_224.bamboo/trainid2name.json
-
curl -L -o trainid2name.json https://huggingface.co/timm/vit_base_patch16_224.bamboo/resolve/main/trainid2name.json
4.61 MB
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