Robotics
Transformers
Safetensors
minicpm_vla
feature-extraction
vision-language-action
embodied-ai
minicpm
manipulation
custom_code
Instructions to use openbmb/MiniCPM-RobotManip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-RobotManip with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-RobotManip", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a10a78e1f2a23f4cd4bb4c95260d2adbc7d94d5c069d46cec4a6e3812abfb437
- Size of remote file:
- 3.54 GB
- SHA256:
- 404314e1f9599d3162fdaa46e4d0c40acf82c27bc7aee2e15e7fe675fb1635b7
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