Instructions to use jadechoghari/vfusion3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/vfusion3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/vfusion3d", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update preprocessor_config.json
Browse files- preprocessor_config.json +6 -2
preprocessor_config.json
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@@ -6,5 +6,9 @@
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"border_ratio": 0.20,
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"image_mean": [0.5, 0.5, 0.5],
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"image_std": [0.5, 0.5, 0.5],
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"
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"border_ratio": 0.20,
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"image_mean": [0.5, 0.5, 0.5],
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"image_std": [0.5, 0.5, 0.5],
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"_class_name": "LRMImageProcessor",
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"processor_class": "processor.LRMImageProcessor",
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"auto_map": {
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"AutoImageProcessor": "processor.LRMImageProcessor"
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}
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}
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