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
- Xet hash:
- ad314eedae43d57e0234d6b23d1ca10f5d5110cb541bb511b69ded9b3e70512f
- Size of remote file:
- 24 Bytes
- SHA256:
- a04e9a1aa2bb97e69b5f41ce8c3b776702c3f95b6a51c316c2ef6170038b71ce
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