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:
- 8f3b8cfbd7c9ee91aa7f27ba280a3a69edf8f4b131576156b735e7f738bc2f14
- Size of remote file:
- 31.5 MB
- SHA256:
- 47e593bfeb7ec800c36dbc22eeeaed61775d61b91de0e0d9b4cafb8d89ba99f1
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