Robotics
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-action-model
vision-language-model
text-generation-inference
Instructions to use InternRobotics/InternVLA-M1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/InternVLA-M1 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InternRobotics/InternVLA-M1") model = AutoModelForImageTextToText.from_pretrained("InternRobotics/InternVLA-M1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81838ab5081af7d194c757086c1f8678cc14804724659dbf1e323b0f1f384d85
- Size of remote file:
- 7.42 kB
- SHA256:
- 2cef6d952f57fafdde1718c806d2b6244ff13d22cf97f645fc5428b23e9712a8
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