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
File size: 231 Bytes
afcbde4 | 1 2 3 4 5 6 7 8 9 10 | {
"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
} |