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:
- 0798bd85138c2a73e28bdf89cabf8e8453d8731c8efa657bf538efce91dd2b84
- Size of remote file:
- 7.42 kB
- SHA256:
- dce401c1eb5224fdff425092068aab240c6ac0a33daae514ce8047c168e81cf1
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