Robotics
Transformers
Safetensors
minicpm_vla
feature-extraction
vision-language-action
embodied-ai
minicpm
manipulation
custom_code
Instructions to use Pq234/MiniCPM-RobotManip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pq234/MiniCPM-RobotManip with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pq234/MiniCPM-RobotManip", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Pq234/MiniCPM-RobotManip: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/Pq234/MiniCPM-RobotManip/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Pq234/MiniCPM-RobotManip/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Pq234/MiniCPM-RobotManip/resolve/main/preprocessor_config.json
315 Bytes
| { | |
| "image_processor_type": "MiniCPMV4_6ImageProcessor", | |
| "processor_class": "MiniCPMV4_6Processor", | |
| "max_slice_nums": 9, | |
| "scale_resolution": 448, | |
| "patch_size": 14, | |
| "use_image_id": true, | |
| "slice_mode": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ] | |
| } |