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
| # Third-party notices | |
| MiniCPM-RobotTrack integrates with the following projects. Their code, model | |
| weights, datasets, and assets remain subject to their own licenses. | |
| - MiniCPM: compact language backbone from OpenBMB. | |
| - DINOv3: visual feature encoder from Meta. The model license is reproduced in | |
| `licenses/DINOV3_LICENSE.md`. | |
| - SigLIP: visual feature encoder from Google. | |
| - Habitat-Lab and Habitat-Sim: simulation framework from Meta. The vendored | |
| Habitat-Lab fork is under `third_party/habitat-lab` and retains its upstream | |
| copyright headers and MIT terms. | |
| - EVT-Bench tracking extensions: simulator actions, sensors, and measurements | |
| under `evt_bench`. | |
| - HM3D, MP3D, humanoid, and robot assets are not redistributed. Users must | |
| obtain them from their providers and accept the applicable licenses. | |