Instructions to use aayuks/vitpose-plus-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayuks/vitpose-plus-small with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitPoseForPoseEstimation processor = AutoImageProcessor.from_pretrained("aayuks/vitpose-plus-small") model = VitPoseForPoseEstimation.from_pretrained("aayuks/vitpose-plus-small") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -133,7 +133,7 @@
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"R_Shoulder": 6,
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"R_Wrist": 10
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},
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"model_type": "
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"scale_factor": 4,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0.dev0",
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"R_Shoulder": 6,
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"R_Wrist": 10
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},
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"model_type": "vit",
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"scale_factor": 4,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0.dev0",
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