Image Feature Extraction
timm
Safetensors
English
university-of-kentucky
medical
radiology
chest-ct
vision
lejepa
Instructions to use Kentucky-Open-Science/DALE-CT-0-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Kentucky-Open-Science/DALE-CT-0-L with timm:
import timm model = timm.create_model("hf_hub:Kentucky-Open-Science/DALE-CT-0-L", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "architecture": "vit_large_patch14_dinov2", | |
| "num_classes": 0, | |
| "num_features": 1024, | |
| "global_pool": "token", | |
| "model_args": { | |
| "patch_size": 16, | |
| "img_size": 512, | |
| "in_chans": 1, | |
| "num_classes": 0, | |
| "dynamic_img_size": true | |
| }, | |
| "pretrained_cfg": { | |
| "custom_load": false, | |
| "input_size": [ | |
| 1, | |
| 512, | |
| 512 | |
| ], | |
| "fixed_input_size": false, | |
| "interpolation": "bicubic", | |
| "crop_pct": 1.0, | |
| "crop_mode": "center", | |
| "mean": [ | |
| 0.0 | |
| ], | |
| "std": [ | |
| 1.0 | |
| ], | |
| "num_classes": 0, | |
| "pool_size": null, | |
| "first_conv": "patch_embed.proj", | |
| "classifier": "head" | |
| } | |
| } |