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:
- c55e24febb6082cea635141495ccbc455218b58a0ab3f78c6f1d4bfd7f8d615f
- Size of remote file:
- 4.99 GB
- SHA256:
- 6cbb7c562790b8bfb79c23944acb18eaffc92401e089ddf98d64596fa15e6c74
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