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:
- 334fbb73c42e697cf0cc5bf8026dd99c97395e8e2f1394ff663c3d123f90127a
- Size of remote file:
- 509 Bytes
- SHA256:
- 303e9a1849c3780bb483955093d1e3f2537ef39d923ec0e8dea87d45e0951f36
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