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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ce2ef02467a109bc9e710ea9578cb9a6f22f3847a01e211b9b67f3d8ba1d157
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size 97185692
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