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:
- e35cecf5e9424b51ff014cb7784cfb0016a0d27e71eaf8b45cf6463b8b2333a2
- Size of remote file:
- 12.8 MB
- SHA256:
- d2dfcfc1f6e7f3b91c254b4df6224754bdf0617697e6a5b9342f8400cffef907
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