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
File size: 1,290 Bytes
0808eb0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"model_name": "vit_base_patch16_224.bamboo",
"destination_repo": "timm/vit_base_patch16_224.bamboo",
"upstream_revision": "f6337a76b3e48a1c5eff2bbd5b9dd044e42f0654",
"demo_revision": "2bbf27dfb670d5e1b1d3f1e0b97596f95e4c62a0",
"sources": {
"Bamboo_v0-1_ViT-B16.pth.tar.convert": {
"url": "https://huggingface.co/spaces/CVPR/Bamboo_ViT-B16_demo/resolve/2bbf27dfb670d5e1b1d3f1e0b97596f95e4c62a0/Bamboo_v0-1_ViT-B16.pth.tar.convert",
"sha256": "a6d30c823ba2fc764291e65a06747390a81b15a1e655dd02b45d58528e08c937"
},
"trainid2name.json": {
"url": "https://huggingface.co/spaces/CVPR/Bamboo_ViT-B16_demo/resolve/2bbf27dfb670d5e1b1d3f1e0b97596f95e4c62a0/trainid2name.json",
"sha256": "0ba222803e0293fd3dbeab960887627481f7d791cdcc42af031f1273a73f0396"
},
"trainid2nid.json": {
"url": "https://drive.usercontent.google.com/download?id=1s8lytaOVU7GrvGTSs8028rAlILXENSs3&export=download&confirm=t",
"sha256": "41ecd41b7b5f05951cee1bbb3fb0043038ce20a603e2af7c0a999ac7549cb8b5"
}
},
"label_name_fallbacks": [
{
"index": 5831,
"node_id": "Q24760423"
}
],
"preprocessing": "Bamboo-Benchmark model-specific config; bicubic, crop_pct=1.0",
"timm_version": "1.0.31.dev0",
"torch_version": "2.9.1+cu130"
}
|