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
File size: 812 Bytes
f9b94bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # 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.
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