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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## News
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## MiniCPM-o 4.5
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## News
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* [2026.05.17] ⭐️⭐️⭐️ We release the API service of MiniCPM-o 4.5, supporting both traditional text and vision-language requests, and also full-duplex realtime interaction! Try [it](https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/api.md) now.
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* [2026.02.06] 🥳 🥳 🥳 We open-sourced a realtime web demo deployable on your own devices like Mac or GPU. [Try it now](#deploy-a-realtime-web-demo-on-your-own-device)!
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## MiniCPM-o 4.5
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