Instructions to use jcenaa/WorldVLA-ActionModel-LIBERO-Object-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcenaa/WorldVLA-ActionModel-LIBERO-Object-256 with Transformers:
# Load model directly from transformers import AutoProcessor, ChameleonXLLMXForConditionalGeneration_ck processor = AutoProcessor.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-Object-256") model = ChameleonXLLMXForConditionalGeneration_ck.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-Object-256") - Notebooks
- Google Colab
- Kaggle
Improve model card: add robotics pipeline tag, library name, and project page link
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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---
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license: apache-2.0
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pipeline_tag: robotics
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library_name: transformers
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This repository contains the model presented in the paper [WorldVLA: Towards Autoregressive Action World Model](https://huggingface.co/papers/2506.21539).
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Project page: https://github.com/alibaba-damo-academy/WorldVLA
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