Instructions to use zaleni/WSA-Large-LIBERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use zaleni/WSA-Large-LIBERO with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Add model card and robotics pipeline tag
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by nielsr HF Staff - opened
README.md
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---
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pipeline_tag: robotics
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---
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# WSA-Large-LIBERO
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WSA-Large-LIBERO is a 3D-Centric World-Spatial-Action Model fine-tuned on the LIBERO benchmark, introduced in the paper:
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**[WSA$_1$: a 3D-Centric World-Spatial-Action Model for Generalizable Robot Control](https://huggingface.co/papers/2607.03941)**.
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* **Project Page:** https://zaleni.github.io/WSA1/
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* **Repository:** https://github.com/zaleni/WSA
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## Model Description
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WSA is an embodied foundation model built upon a 3D-Centric World-Spatial-Action modeling paradigm. It unifies instruction-aligned 2D visual planning, action-conditioned 3D world modeling, and 3D-aware action generation, allowing for robust behavior generalization on both simulation and real-world robot control tasks.
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This checkpoint corresponds to the **WSA-Large (6B)** variant (based on the Wan2.2-TI2V-5B backbone) fine-tuned on the LIBERO dataset.
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## Installation & Evaluation
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For codebase setup, evaluation workflows, and training instructions, please refer to the official [WSA GitHub Repository](https://github.com/zaleni/WSA).
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