Robotics
Transformers
Safetensors
qwen3_vl
image-text-to-text
embodied-navigation
vision-language-navigation
visual-tracking
vision-language-action
qwen3-vl
Instructions to use LightOriginsHQ/LightNav-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightOriginsHQ/LightNav-0 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("LightOriginsHQ/LightNav-0") model = AutoModelForMultimodalLM.from_pretrained("LightOriginsHQ/LightNav-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 81583ecfb6ef7b1498ae34c2e520156ac15b8f56f31dfb27ff292a7160968ef9
- Size of remote file:
- 341 kB
- SHA256:
- 29c07f5b1b640473ae72f5d067b78360e70abb727e54520c1e177ce6f8a89252
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