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:
- 362054e70995b541e6dc3a6c84729e38ce056016b18d6f80a907f7b2492b3583
- Size of remote file:
- 20 MB
- SHA256:
- 33861e37bb955af1e3f3061182b820f347eba2b9c2c1011c82794bf0d6e77b54
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