Instructions to use chill112/UNI-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use chill112/UNI-fixed with timm:
import timm model = timm.create_model("hf-hub:chill112/UNI-fixed", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from chill112/UNI-fixed: direct link, hf CLI and curl.
- Browser
- Download file 686 Bytes
-
https://huggingface.co/chill112/UNI-fixed/resolve/main/config.json
- Command line
-
hf download hf://chill112/UNI-fixed/config.json
-
curl -L -o config.json https://huggingface.co/chill112/UNI-fixed/resolve/main/config.json
686 Bytes
| { | |
| "architecture": "vit_large_patch16_224", | |
| "patch_size": 16, | |
| "img_size": 224, | |
| "init_values": 1.0, | |
| "num_classes": 0, | |
| "num_features": 1024, | |
| "global_pool": "token", | |
| "dynamic_img_size": true, | |
| "pretrained_cfg": { | |
| "tag": "uni_mass100k", | |
| "custom_load": true, | |
| "crop_pct": 1, | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "fixed_input_size": false, | |
| "interpolation": "bilinear", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "num_classes": 0, | |
| "pool_size": null, | |
| "first_conv": "patch_embed.proj", | |
| "classifier": "head", | |
| "license": "CC BY-NC-ND 4.0" | |
| } | |
| } |