Instructions to use toolevalxm/MediScanPro-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use toolevalxm/MediScanPro-TestRepo with timm:
import timm model = timm.create_model("hf-hub:toolevalxm/MediScanPro-TestRepo", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from toolevalxm/MediScanPro-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 344 Bytes
-
https://huggingface.co/toolevalxm/MediScanPro-TestRepo/resolve/main/config.json
- Command line
-
hf download hf://toolevalxm/MediScanPro-TestRepo/config.json
-
curl -L -o config.json https://huggingface.co/toolevalxm/MediScanPro-TestRepo/resolve/main/config.json
344 Bytes
| { | |
| "model_type": "swin", | |
| "architectures": [ | |
| "SwinForImageClassification" | |
| ], | |
| "num_classes": 14, | |
| "image_size": 512, | |
| "patch_size": 4, | |
| "embed_dim": 128, | |
| "depths": [ | |
| 2, | |
| 2, | |
| 18, | |
| 2 | |
| ], | |
| "num_heads": [ | |
| 4, | |
| 8, | |
| 16, | |
| 32 | |
| ], | |
| "window_size": 7 | |
| } |