Instructions to use jcenaa/WorldVLA-ActionModel-LIBERO-Spatial-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcenaa/WorldVLA-ActionModel-LIBERO-Spatial-512 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, ChameleonXLLMXForConditionalGeneration_ck processor = AutoProcessor.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-Spatial-512") model = ChameleonXLLMXForConditionalGeneration_ck.from_pretrained("jcenaa/WorldVLA-ActionModel-LIBERO-Spatial-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add pipeline tag, library name and project page (#1)
Verified signature- Add pipeline tag, library name and project page (0b1912126b9c5eb9942f7df41cd3539a643a5cab) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>51fedd5
-
Upload folder using huggingface_hub
Verified signature436fe3c -
initial commit
Verified signature240b942