Instructions to use usyd-community/vitpose-plus-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usyd-community/vitpose-plus-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("usyd-community/vitpose-plus-large") model = VitPoseForPoseEstimation.from_pretrained("usyd-community/vitpose-plus-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from usyd-community/vitpose-plus-large: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/usyd-community/vitpose-plus-large/resolve/main/model.safetensors
- Command line
-
hf download hf://usyd-community/vitpose-plus-large/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/usyd-community/vitpose-plus-large/resolve/main/model.safetensors
1.74 GB
- Xet hash:
- ebe371f575486376cfad40712de9cd4b77dac6ebb1f774d0dabfb7eaa7df722f
- Size of remote file:
- 1.74 GB
- SHA256:
- 8b249f74fca7c90b94adb1ebcdbb32cb424fb4fb3c8c40f54a050ccce972643f
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