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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Merge branch 'main' of https://huggingface.co/InternRobotics/InternVLA-N1 into main
ChaimZhu377366b -
update model type in config.json
ChaimZhudb65ad4
-
Update related links
Verified signature78ee00c
-
Updata README.md
Verified signature872fd8d -
update config.json
ChaimZhub34c8e4
-
add:internvla-n1
ChaimZhue906d2b -
initial commit
Verified signature6f667cb