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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLAC", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Improve model card: Add abstract, update paper link & license, enable images
Verified signatureThis PR significantly enhances the model card for the VLAC model by: - Updating the `license` in the metadata to `mit`, 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.78965da
-
Update README.md
Verified signature1f80c06 -
Update README.md
Verified signature7b6f10a -
Update README.md
Verified signaturefaaed20 -
Update README.md
Verified signature762f599 -
Update README.md
Verified signatured415bcf -
Upload folder using huggingface_hub
Verified signaturea6897ca
-
initial commit
Verified signature3aa31f7