Instructions to use py-feat/au_to_mesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Py-Feat
How to use py-feat/au_to_mesh with Py-Feat:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
20 days ago
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Clarify model licensing scope and dataset provenance
Verified signatureSeparate implementation licenses from pretrained-weight and training-data terms. Preserve existing valid grants and document unresolved distribution permissions. No weights or access settings changed.a5646d1
22 days ago
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Model card: v6 known limitations
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Add v6 AU->mesh PLS (Detectorv2 v2.8 space, R2 0.472)
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Add v6 AU->mesh PLS (Detectorv2 v2.8 space, R2 0.472)
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Add v6 AU->mesh PLS (Detectorv2 v2.8 space, R2 0.472)
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Add v6 AU->mesh PLS (Detectorv2 v2.8 space, R2 0.472)
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Add v5 AU->mesh PLS (Detectorv2 v2.5 space), canonical frontal frame; new default replacing v4
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Add v4 AU→mesh PLS (Detectorv2 v2.4, 20-AU Feat space; frontalized + aspect-corrected)
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Switch v3 PLS to standard (AU+pose) fit; noid was overfit to the 4 dropped dead AUs
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Add v3 (Detectorv2 24-AU, identity-removed) PLS model
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Upload folder using huggingface_hub
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initial commit
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