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:
# pip install -U transformers accelerate # 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
Download action_tokenizer/codebook_l2.npy from LightOriginsHQ/LightNav-0: direct link, hf CLI and curl.
- Browser
- Download file 30.8 kB
-
https://huggingface.co/LightOriginsHQ/LightNav-0/resolve/main/action_tokenizer/codebook_l2.npy
- Command line
-
hf download hf://LightOriginsHQ/LightNav-0/action_tokenizer/codebook_l2.npy
-
curl -L -o codebook_l2.npy https://huggingface.co/LightOriginsHQ/LightNav-0/resolve/main/action_tokenizer/codebook_l2.npy
30.8 kB
- Xet hash:
- 5d63bc5fdbe53c75f07e93072953699a2795853574697050361ef4d9048f24d6
- Size of remote file:
- 30.8 kB
- SHA256:
- 2a7b186159bc9375997535008028930efe09c9b239a522639aff6febfac6c51c
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