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
#1
by nielsr HF Staff - opened
This PR improves the model card for the paper WorldVLA: Towards Autoregressive Action World Model by:
- Adding the
roboticspipeline tag. - Adding the
transformerslibrary name. - Adding a link to the project page.
jcenaa changed pull request status to merged