Instructions to use nielsr/vitpose-base-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/vitpose-base-simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, ViTPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("nielsr/vitpose-base-simple") model = ViTPoseForPoseEstimation.from_pretrained("nielsr/vitpose-base-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Fix task tag (#1)
Verified signature- Fix task tag (46e26be1e130cdd4daf30f50788ce69f982b2168) Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>2d440cc
-
Upload processor
Verified signature34824b4 -
Upload ViTPoseForPoseEstimation
Verified signaturebb67b68
-
Upload processor
Verified signaturec886280 -
Upload ViTPoseForPoseEstimation
Verified signature10bdd2f -
initial commit
Verified signature556a768