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:
- 15e4fe5cfb2e3f9eabb69e7ceb47b4a69bca1ea66ce1df371102a6e61c8f3f19
- Size of remote file:
- 72.8 kB
- SHA256:
- f9b731e0a8d42acfbf4201a8f54e567f7a1010adb81765d6f4c5d082b7a7b1d7
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