Any-to-Any
Transformers
ONNX
Safetensors
English
Chinese
multimodal
audio
video
speech
streaming
full-duplex
long-video
custom-code
Instructions to use inclusionAI/Realtime-Venus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Realtime-Venus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/Realtime-Venus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Realtime-Venus-Omni/memory_adapter/__init__.py from inclusionAI/Realtime-Venus: direct link, hf CLI and curl.
- Browser
- Download file 366 Bytes
-
https://huggingface.co/inclusionAI/Realtime-Venus/resolve/1b66c69ecb211de1e17845173a4567a41a9dbda2/Realtime-Venus-Omni/memory_adapter/__init__.py
- Command line
-
hf download hf://inclusionAI/Realtime-Venus@1b66c69ecb211de1e17845173a4567a41a9dbda2/Realtime-Venus-Omni/memory_adapter/__init__.py
-
curl -L -o __init__.py https://huggingface.co/inclusionAI/Realtime-Venus/resolve/1b66c69ecb211de1e17845173a4567a41a9dbda2/Realtime-Venus-Omni/memory_adapter/__init__.py
366 Bytes
| # Copyright 2026 The Realtime-Venus Team. All rights reserved. | |
| """Realtime-Venus-Omni memory configuration and model interfaces.""" | |
| from .model_adapter import ( | |
| HuggingFaceMemoryDuplex, | |
| RealtimeVenusOmniMemoryController, | |
| configure_memory, | |
| ) | |
| __all__ = [ | |
| "HuggingFaceMemoryDuplex", | |
| "RealtimeVenusOmniMemoryController", | |
| "configure_memory", | |
| ] | |