Instructions to use danelcsb/vitpose-plus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danelcsb/vitpose-plus-base with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("danelcsb/vitpose-plus-base") model = VitPoseForPoseEstimation.from_pretrained("danelcsb/vitpose-plus-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd6072bb30e01146e48d85ed0934d7824b1c5e685e19649225a219b0ecac2155
- Size of remote file:
- 502 MB
- SHA256:
- 640225e4a9dd544239f1da0ae36af865a6e76e21e5f33a12656aa7b77fa5a5fa
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