Robotics
Transformers
Safetensors
minicpm_robottrack
feature-extraction
vision-language-action
embodied-ai
minicpm
visual-tracking
custom_code
Instructions to use openbmb/MiniCPM-RobotTrack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-RobotTrack with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-RobotTrack", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ed797a9c35425de87a74220399918ec298b96da3cc3cf869f8d740bbde29e59
- Size of remote file:
- 1.18 MB
- SHA256:
- bb74d51116831c3bf65db812c553f94ab0c88dcf97a5bbb37e3504f6d359c530
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