Instructions to use Lifec-321/trellis2-quantized-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TRELLIS.2
How to use Lifec-321/trellis2-quantized-v3 with TRELLIS.2:
# 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
Download quantized/sparse_structure_flow_model.pt from Lifec-321/trellis2-quantized-v3: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/Lifec-321/trellis2-quantized-v3/resolve/main/quantized/sparse_structure_flow_model.pt
- Command line
-
hf download hf://Lifec-321/trellis2-quantized-v3/quantized/sparse_structure_flow_model.pt
-
curl -L -o sparse_structure_flow_model.pt https://huggingface.co/Lifec-321/trellis2-quantized-v3/resolve/main/quantized/sparse_structure_flow_model.pt
1.08 GB
- Xet hash:
- 09ae3db556f8c9ae2a7d2c72a1d79bde12f06bdd3a703ffeefc2b7557456d521
- Size of remote file:
- 1.08 GB
- SHA256:
- c3fc6a22028735e21fdfe793434c8038133d3e58b398bcc9a4812a3bb47888a9
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