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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Improve model card: add robotics pipeline tag, library name, and project page link (#1)
Verified signature- Improve model card: add robotics pipeline tag, library name, and project page link (535e4e570a4c3376d55aae4a990b03da63e724fc) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>0db4094
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