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:
- 3956534fe2fae71d654f417311acb95e2decb1ba1386d18f682fedbad6b3658a
- Size of remote file:
- 1.69 GB
- SHA256:
- f0000f96fecaf81649e882391430fdd6c47f8d449e92d71da3d2eed0ff582fb3
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