Instructions to use Qtn-Cls/LocalMeshEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use Qtn-Cls/LocalMeshEngine with Trellis:
# 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
29 days ago
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Engine 1.2.0: the photographs projected onto the texture; ANTLR licence text
Verified signatureModel card for engine 1.2.0 (photo projection, no new weights), and the BSD-3 licence text of antlr4-python3-runtime 4.9.3, which its dist-info did not carry.72e67cb
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Retrait des .pyc et du script de console : ils portaient le chemin de la machine
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Le depot porte tout le moteur, range comme le disque le lit
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Retrait des copies a plat : chaque piece vit sous son dossier
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Les quatre vues passent sous multivue/ : l'arborescence du depot devient celle du disque (part 2)
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Les quatre vues passent sous multivue/ : l'arborescence du depot devient celle du disque
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TRELLIS.2-4B en fp8 : le moteur au complet dans un seul depot
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Le decodeur de structure creuse (microsoft/TRELLIS-image-large, MIT)
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model card: four meshes on a full turn, not one
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model card: a word and an image for the application
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model card: let the weights table breathe
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model card
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add the DA3 side measurer, packaged as the engine expects it
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add champ.safetensors
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add forme_1024_mv_fp8.json
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add forme_1024_mv_fp8.safetensors
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add forme_512_mv_fp8.json
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add forme_512_mv_fp8.safetensors
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add structure_mv_fp8.json
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add structure_mv_fp8.safetensors
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initial commit
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