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 renderer.py
Browse files- renderer.py +0 -1
renderer.py
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@@ -27,7 +27,6 @@ import torch.nn as nn
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import torch.nn.functional as F
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from .ray_marcher import MipRayMarcher2
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from . import math_utils
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# Copied from .math_utils.transform_vectors
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def transform_vectors(matrix: torch.Tensor, vectors4: torch.Tensor) -> torch.Tensor:
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import torch.nn.functional as F
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from .ray_marcher import MipRayMarcher2
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# Copied from .math_utils.transform_vectors
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def transform_vectors(matrix: torch.Tensor, vectors4: torch.Tensor) -> torch.Tensor:
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