Instructions to use toolevalxm/MedVisionNet-ChestXray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use toolevalxm/MedVisionNet-ChestXray with timm:
import timm model = timm.create_model("hf-hub:toolevalxm/MedVisionNet-ChestXray", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/MedVisionNet-ChestXray: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/toolevalxm/MedVisionNet-ChestXray/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://toolevalxm/MedVisionNet-ChestXray/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/MedVisionNet-ChestXray/resolve/main/pytorch_model.bin
23 Bytes
- Xet hash:
- 1137d44a174774e1b8e75571b92adb6ecbdc540df1365bf00f762c9768296c16
- Size of remote file:
- 23 Bytes
- SHA256:
- 965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
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