Instructions to use l2aggle/PPTmodel4UnitreeG1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l2aggle/PPTmodel4UnitreeG1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("l2aggle/PPTmodel4UnitreeG1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: Add pipeline tag, paper link, project page, and code link
Verified signatureThis PR enhances the model card by: - Linking to the official paper: [TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning](https://huggingface.co/papers/2509.11839). - Adding the `robotics` pipeline tag to improve discoverability on the Hugging Face Hub. - Specifying `transformers` as the `library_name` for automated usage examples, supported by the existing code snippet in the model card and `config.json`'s `transformers_version`. - Including direct links to the project page ([https://jiachengliu3.github.io/TrajBooster/](https://jiachengliu3.github.io/TrajBooster/)) and the GitHub repository ([https://github.com/jiachengliu3/OpenTrajBooster](https://github.com/jiachengliu3/OpenTrajBooster)). These additions will make the model card more comprehensive and user-friendly.7a052d1 -
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Add PPT model files with LFS support
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initial commit
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