Robotics
Transformers
Safetensors
internvl_chat
feature-extraction
vision-language-model
manipulation
custom_code
Instructions to use InternRobotics/VLAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VLAC with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLAC", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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VLAC trained on 3000h+ human egocentric data, 1200h+ comprehensive public robotic manipulation data, and 15h+ self-collected manipulation data.
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## ✨ Key Features
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• **Pair-wise comparison mechanism** for improved progressing dense critic accuracy, better recognition of state changes, and each step can be the start of the trajectory.
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VLAC trained on 3000h+ human egocentric data, 1200h+ comprehensive public robotic manipulation data, and 15h+ self-collected manipulation data.
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VLAC-8B is coming soon!
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## ✨ Key Features
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• **Pair-wise comparison mechanism** for improved progressing dense critic accuracy, better recognition of state changes, and each step can be the start of the trajectory.
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