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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919cebf39a6097d6281252557a1201cb3ead7cd137dc1a2d8f89455245e8335f
- Size of remote file:
- 360 MB
- SHA256:
- 2e849e1f1dbb5b87191eda7171f1b16468d5d082a7380e93e94b7ce76a061679
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