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:
- 45b9adedd7acb992cf21e57b7c713a71f16ef84b6faa3c6eccabfcef3d4cedb2
- Size of remote file:
- 15.1 MB
- SHA256:
- c5ed133e862183e2142f775e5a5d9d91a35d09fb2a07d72357f607ee9fda9a81
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