Instructions to use shauray/ViTPose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shauray/ViTPose with Transformers:
# Load model directly from transformers import AutoImageProcessor, ViTPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("shauray/ViTPose") model = ViTPoseForPoseEstimation.from_pretrained("shauray/ViTPose") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1860b1cb02b2b7359cb07bec92e251a48f90dbbf4750974742b2c7adb308ade7
- Size of remote file:
- 97.2 MB
- SHA256:
- 8fc89e800ee33e1979b67defdabdde563fd9835797e898219be6728b3dbfc127
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