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-Audio/tokenizer.json from inclusionAI/Realtime-Venus: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/inclusionAI/Realtime-Venus/resolve/374d7b4968e36687d44c4bf7876c134a0341e0bd/Realtime-Venus-Audio/tokenizer.json
- Command line
-
hf download hf://inclusionAI/Realtime-Venus@374d7b4968e36687d44c4bf7876c134a0341e0bd/Realtime-Venus-Audio/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/inclusionAI/Realtime-Venus/resolve/374d7b4968e36687d44c4bf7876c134a0341e0bd/Realtime-Venus-Audio/tokenizer.json
11.4 MB
- Xet hash:
- 0206637b6b9b6e767058339cb7dbe21e18b3a7860e447e6dbb7ae820e7c2b39c
- Size of remote file:
- 11.4 MB
- SHA256:
- 6d694bbb227bd59984fcad14c7d807ad74507019c9a1a8013d325c9d87977432
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