Instructions to use usyd-community/vitpose-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usyd-community/vitpose-base with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("usyd-community/vitpose-base") model = VitPoseForPoseEstimation.from_pretrained("usyd-community/vitpose-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2267a0c961c13cb28beb0737c6a25a61ba71d024cdadbea91da255fb5801cd12
- Size of remote file:
- 360 MB
- SHA256:
- cd9a4e6cefc33c51ddcc32dd509fc4114b5845256463a69a10ea2dfde402b2f8
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