Instructions to use InternRobotics/VL-LN-Bench-basemodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VL-LN-Bench-basemodel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("InternRobotics/VL-LN-Bench-basemodel") model = AutoModelForMultimodalLM.from_pretrained("InternRobotics/VL-LN-Bench-basemodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, library name, and improve model card
Verified signatureHi! I'm Niels from the Hugging Face community science team. I've opened this PR to improve the model card for the VL-LN-Bench basemodel: * Added `library_name: transformers` and `pipeline_tag: robotics` to the metadata. This will improve discoverability and enable features like the "Use in Transformers" button. * Added an introductory link to the Hugging Face paper page. * Corrected the arXiv paper link in the "Resources" section to `https://arxiv.org/abs/2512.22342`, matching the paper's ID. * Included the BibTeX citation block from the paper's GitHub repository. These changes should make the model easier to find and use for the community. Let me know if you have any feedback!fe24cc6
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