Reinforcement Learning
Transformers
Safetensors
English
reward-model
robotics
vision-language-model
qwen3-vl
robot-learning
Instructions to use USC-PSI-Lab/LRM-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use USC-PSI-Lab/LRM-models with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("USC-PSI-Lab/LRM-models", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aec39639a0a2d1ca966356b8c2b8426a484f80ff80731f44fa8482040713bdf
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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