Instructions to use jcenaa/WorldVLA-ActionModel-LIBERO-10-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcenaa/WorldVLA-ActionModel-LIBERO-10-256 with Transformers:
# Load model directly from transformers import AutoProcessor, ChameleonXLLMXForConditionalGeneration_ck processor = AutoProcessor.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-10-256") model = ChameleonXLLMXForConditionalGeneration_ck.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-10-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, link to paper and project page
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
roboticspipeline tag, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=robotics - Adding the
transformerslibrary name - Linking the model card to the paper: WorldVLA: Towards Autoregressive Action World Model
- Adding a link to the project page: https://github.com/alibaba-damo-academy/WorldVLA
jcenaa changed pull request status to merged