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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("InternRobotics/InternVLA-M1") model = AutoModelForMultimodalLM.from_pretrained("InternRobotics/InternVLA-M1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9f418d41ed4f1f442db78f2254c7a7e4fd5d266c79fafdaa6ec14601c533ba8
- Size of remote file:
- 2.51 GB
- SHA256:
- 4fc0a4ee3c9685766d10c9d2f398042dec99d4a8e7225a1800da047cea2ad108
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