Robotics
Transformers
Safetensors
qwen2_5_vl
text-generation
vision-language-model
video-language-model
navigation
text-generation-inference
Instructions to use InternRobotics/InternVLA-N1-wo-dagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/InternVLA-N1-wo-dagger with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("InternRobotics/InternVLA-N1-wo-dagger") model = AutoModelForCausalLM.from_pretrained("InternRobotics/InternVLA-N1-wo-dagger") - Notebooks
- Google Colab
- Kaggle
Update related links
Browse files
README.md
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[](https://github.com/InternRobotics/InternNav)
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[](https://github.com/InternRobotics/InternNav)
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Project page: https://internrobotics.github.io/internvla-n1.github.io/
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Technical report: https://internrobotics.github.io/internvla-n1.github.io/static/pdfs/InternVLA_N1.pdf
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Data: https://huggingface.co/datasets/InternRobotics/InternData-N1
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