Robotics
Transformers
Safetensors
internvl_chat
feature-extraction
vision-language-model
manipulation
custom_code
Instructions to use InternRobotics/VLAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VLAC with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLAC", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add abstract, update paper link & license, enable images
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for the VLAC model by:
- Updating the
licensein the metadata tomit, aligning with the explicit license statement in the project's GitHub README. - Updating the paper link to the official Hugging Face Papers page:
https://huggingface.co/papers/2509.15937. - Adding the paper's abstract to provide a comprehensive overview of the model's capabilities and context.
- Uncommenting and updating the paths for the project banner image and the framework image to use raw Hugging Face Hub URLs, improving the visual presentation of the model card.
- Reinstating the full "Framework" section from the GitHub README, and adjusting the "Framework & Performance" section to "Performance".
- Fixing the relative example links in the "Quick Start" section to absolute GitHub URLs.
- Ensuring the license is explicitly stated in the content, as found in the GitHub README.