Any-to-Any
Transformers
ONNX
Safetensors
minicpmo
feature-extraction
minicpm-o
minicpm-v
multimodal
full-duplex
custom_code
Instructions to use openbmb/MiniCPM-o-4_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-4_5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/fossil.png from openbmb/MiniCPM-o-4_5: direct link, hf CLI and curl.
- Browser
- Download file 466 kB
-
https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/assets/fossil.png
- Command line
-
hf download hf://openbmb/MiniCPM-o-4_5/assets/fossil.png
-
curl -L -o fossil.png https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/assets/fossil.png
466 kB

- Xet hash:
- c63e5ae2ec03cbf25c210e660266c9d8b3a632700ff981f618f8a583b82999b4
- Size of remote file:
- 466 kB
- SHA256:
- b8b3f1668da6e2b503ecea5a6fd40c1a2a666b4bd07b903ba0728fd2fc9f74fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.