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:
- 8ceb94c336e53d1e169c452fe6653c14aeaafd520fc970f6d7c9c47e496ba681
- Size of remote file:
- 71.6 kB
- SHA256:
- e356f63ec6b1a35cdc001b6c78e28af469876afbded7b402ae40a0c9ee64afac
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