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:
- 7f1b65180d6d17f50cacfedf89a9d7c4e6678756e7b9dd6767df79e0bee429e7
- Size of remote file:
- 272 Bytes
- SHA256:
- 43a6549949cfd02dec4221b8e59f3ab582729da2dffa91cca116777b88b3edd2
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