Instructions to use rail-berkeley/octo-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rail-berkeley/octo-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rail-berkeley/octo-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add project page and link to paper
#1
by nielsr HF Staff - opened
This PR adds the project page and links the model to From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models.