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
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Download README.md from TencentARC/OREO: direct link, hf CLI and curl.
- Browser
- Download file 538 Bytes
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https://huggingface.co/TencentARC/OREO/resolve/main/README.md
- Command line
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hf download hf://TencentARC/OREO/README.md
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curl -L -o README.md https://huggingface.co/TencentARC/OREO/resolve/main/README.md
538 Bytes
| license: mit | |
| library_name: pytorch | |
| tags: | |
| - 3d | |
| - oreo | |
| - rendering | |
| - editing | |
| - trellis | |
| pipeline_tag: other | |
| # OREO | |
| Checkpoints for **OREO (Rendering-Editing-Optimization)**. | |
| ## Checkpoints | |
| - [`oreo_v1/`](oreo_v1): released weights corresponding to training `checkpoint_10_3157` (global step 3157) | |
| - `model.safetensors` | |
| - `model_1.safetensors` | |
| ```bash | |
| hf download TencentARC/OREO --include 'oreo_v1/*' --local-dir ./checkpoints/oreo_v1 | |
| ``` | |
| ## Code | |
| - GitHub: https://github.com/TencentARC/OREO-RenderingEdittingOptimization | |