Instructions to use chibubu/rhino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chibubu/rhino with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chibubu/rhino", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rhino
Rhino (originally MiniCPM-o-4.5) is a 9-billion-parameter end-to-end multimodal large language model with full-duplex streaming capabilities.
About
Rhino is designed for research on cross-modal temporal grounding and audio-visual understanding. It supports vision, speech, and full-duplex multimodal live streaming, enabling real-time processing of continuous video and audio input streams while generating concurrent text and speech output.
Modalities
| Modality | Input | Output |
|---|---|---|
| Text | Yes | Yes |
| Image | Yes | β |
| Audio | Yes | Yes |
| Video | Yes | β |
Intended Use
This model is intended for academic research on multimodal temporal reasoning, cross-modal attention analysis, and audio-visual language modeling.
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