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
Download requirements.txt from openbmb/MiniCPM-RobotTrack: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
-
https://huggingface.co/openbmb/MiniCPM-RobotTrack/resolve/main/requirements.txt
- Command line
-
hf download hf://openbmb/MiniCPM-RobotTrack/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/openbmb/MiniCPM-RobotTrack/resolve/main/requirements.txt
73 Bytes
| torch>=2.1 | |
| transformers>=4.56,<5 | |
| safetensors>=0.4 | |
| sentencepiece>=0.1.99 | |