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bayang
/
shape-foundation-small-v3
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Feature Extraction
PyTorch
English
3d
geometry
point-cloud
mesh
cad
foundation-model
self-supervised
masked-modeling
contrastive-learning
License:
apache-2.0
Model card
Files
Files and versions
xet
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main
shape-foundation-small-v3
539 MB
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1 contributor
History:
16 commits
bayang
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README.md
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checkpoint_final.pt
pickle
Detected Pickle imports (33)
"shape_foundation.configs.default.WandbConfig"
,
"shape_foundation.configs.default.MaskedTokenLossConfig"
,
"shape_foundation.configs.default.LatentGridConfig"
,
"shape_foundation.configs.default.CaptionHeadConfig"
,
"shape_foundation.configs.default.HeadsConfig"
,
"collections.OrderedDict"
,
"torch._utils._rebuild_tensor_v2"
,
"shape_foundation.configs.default.InputConfig"
,
"shape_foundation.configs.default.SupervisedLossConfig"
,
"shape_foundation.configs.default.ProcessorConfig"
,
"shape_foundation.configs.default.ReconTargetNormConfig"
,
"shape_foundation.configs.default.DatasetSourceConfig"
,
"shape_foundation.configs.default.SyntheticLabelConfig"
,
"shape_foundation.configs.default.GeoEmbedConfig"
,
"shape_foundation.configs.default.LossConfig"
,
"shape_foundation.configs.default.LossWeightsConfig"
,
"shape_foundation.configs.default.PartHeadConfig"
,
"shape_foundation.configs.default.OptimizerConfig"
,
"shape_foundation.configs.default.TextAlignLossConfig"
,
"shape_foundation.configs.default.SymmetryHeadConfig"
,
"shape_foundation.configs.default.TokenizerConfig"
,
"shape_foundation.configs.default.PrimitiveHeadConfig"
,
"shape_foundation.configs.default.InpaintingLossConfig"
,
"shape_foundation.configs.default.ShapeConfig"
,
"shape_foundation.configs.default.AGNOConfig"
,
"torch.FloatStorage"
,
"shape_foundation.configs.default.ReductionHeadConfig"
,
"shape_foundation.configs.default.RegressionLossConfig"
,
"shape_foundation.configs.default.DataConfig"
,
"shape_foundation.configs.default.NeighborConfig"
,
"torch.ByteStorage"
,
"shape_foundation.configs.default.ContrastiveLossConfig"
,
"shape_foundation.configs.default.TrainConfig"
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126 MB
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embeddings.npy
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metadata.json
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point_clouds.npy
375 MB
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small.yaml
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