Instructions to use robbyant/lingbot-va-posttrain-robotwin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robbyant/lingbot-va-posttrain-robotwin with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robbyant/lingbot-va-posttrain-robotwin", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add metadata and link to paper
#1
by nielsr HF Staff - opened
This PR improves the model card for LingBot-VA by:
- Adding relevant metadata:
pipeline_tag: robotics,library_name: transformers, andlicense: apache-2.0. - Linking the model to the official research paper on Hugging Face: Causal World Modeling for Robot Control.
- Adding a Quick Start section with installation instructions and a sample inference command from the official GitHub repository.
- Including performance metrics from simulation (RoboTwin 2.0, LIBERO) and real-world evaluations to provide better context for users.
fengchang-ll changed pull request status to merged