Instructions to use TencentARC/OREO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use TencentARC/OREO 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
|
Download README.md from TencentARC/OREO: direct link, hf CLI and curl.
- Browser
- Download file 538 Bytes
-
https://huggingface.co/TencentARC/OREO/resolve/main/README.md
- Command line
-
hf download hf://TencentARC/OREO/README.md
-
curl -L -o README.md https://huggingface.co/TencentARC/OREO/resolve/main/README.md
538 Bytes
metadata
license: mit
library_name: pytorch
tags:
- 3d
- oreo
- rendering
- editing
- trellis
pipeline_tag: other
OREO
Checkpoints for OREO (Rendering-Editing-Optimization).
Checkpoints
oreo_v1/: released weights corresponding to trainingcheckpoint_10_3157(global step 3157)model.safetensorsmodel_1.safetensors
hf download TencentARC/OREO --include 'oreo_v1/*' --local-dir ./checkpoints/oreo_v1