Instructions to use usyd-community/vitpose-plus-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usyd-community/vitpose-plus-small with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("usyd-community/vitpose-plus-small") model = VitPoseForPoseEstimation.from_pretrained("usyd-community/vitpose-plus-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from usyd-community/vitpose-plus-small: direct link, hf CLI and curl.
- Browser
- Download file 363 Bytes
-
https://huggingface.co/usyd-community/vitpose-plus-small/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://usyd-community/vitpose-plus-small/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/usyd-community/vitpose-plus-small/resolve/main/preprocessor_config.json
363 Bytes
| { | |
| "do_affine_transform": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "VitPoseImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "normalize_factor": 200.0, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 256, | |
| "width": 192 | |
| } | |
| } | |