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:
# pip install -U transformers accelerate # 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
Download vitpose_small.pth from shauray/ViTPose: direct link, hf CLI and curl.
- Browser
- Download file 97.2 MB
-
https://huggingface.co/shauray/ViTPose/resolve/main/vitpose_small.pth
- Command line
-
hf download hf://shauray/ViTPose/vitpose_small.pth
-
curl -L -o vitpose_small.pth https://huggingface.co/shauray/ViTPose/resolve/main/vitpose_small.pth
97.2 MB
- Xet hash:
- 429661f5d497f9ff9624b71e8f24aa98fe3a5a6174326b9336f0577e9c4d5f8e
- Size of remote file:
- 97.2 MB
- SHA256:
- 43eba5e44ea5471a449c6a85bd7f11284727da79fc25c35a3bd358d6b0cdb698
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