Instructions to use weikaih/slat-vq-tokenizers-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use weikaih/slat-vq-tokenizers-512 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
SLAT VQ tokenizers (512-code) โ SS / shape / tex
Three frozen VQ tokenizers over TRELLIS.2 SLAT latents (Kyvo-style densify + 3D-conv + VQ),
512 codes/section. Used by weikaih/3d-vlm-stage1-v2.2. Load via torch.load(...) -> ck['args'], ck['model'],
ck['mean'], ck['std']. Code: https://github.com/weikaih04/3d_vlm
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