Robotics
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-action-model
vision-language-model
text-generation-inference
Instructions to use InternRobotics/RoboInter-VLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/RoboInter-VLM with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InternRobotics/RoboInter-VLM") model = AutoModelForImageTextToText.from_pretrained("InternRobotics/RoboInter-VLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 127cd11fe1b0c249bb875ee80a374b8c1b5cc3b5f918ea4c3e3da74eb5455ad8
- Size of remote file:
- 4.93 GB
- SHA256:
- 8a648a261557c76b93b244a18da1d94c0803d3dd16c971d92b6ff3ff8f6f8bef
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