Instructions to use danelcsb/vitpose-base-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danelcsb/vitpose-base-simple with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("danelcsb/vitpose-base-simple") model = VitPoseForPoseEstimation.from_pretrained("danelcsb/vitpose-base-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4aca1b18c5c026de46e199a71e829dfe999591bb824553e4186ea06e97908c29
- Size of remote file:
- 344 MB
- SHA256:
- 85375373893ddd3641f3912821073e53f5435f9e966e1dca59d004454bfe4fdf
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