Instructions to use toolevalxm/MedVisionNet-Clinical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use toolevalxm/MedVisionNet-Clinical with timm:
import timm model = timm.create_model("hf_hub:toolevalxm/MedVisionNet-Clinical", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "vit", | |
| "architectures": ["ViTForImageClassification"], | |
| "hidden_size": 768, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "image_size": 512, | |
| "patch_size": 16, | |
| "num_classes": 14 | |
| } |