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:
- ac8fb6ea3914b1ed6b025a326a937c7266bcd553e9d3591106e84baa325aa1e5
- Size of remote file:
- 5 GB
- SHA256:
- 362a9ed403b7a99190f14194061f9405c9b1971054fd8778cd96c1b8c666492a
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