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
Add fdb explanation
Browse files
README.md
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<summary>Click to view audio duplex results.</summary>
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**FullDuplexBench**
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<summary>Click to view audio duplex results.</summary>
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**FullDuplexBench v1.0** benchmarking turn-taking behavior of full-duplex spoken dialogue models
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