Instructions to use Zyphra/ZONOS3-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Zonos
How to use Zyphra/ZONOS3-Mini with Zonos:
# pip install git+https://github.com/Zyphra/Zonos.git import torchaudio from zonos.model import Zonos from zonos.conditioning import make_cond_dict model = Zonos.from_pretrained("Zyphra/ZONOS3-Mini", device="cuda") wav, sr = torchaudio.load("speaker.wav") # 5-10s reference clip speaker = model.make_speaker_embedding(wav, sr) cond = make_cond_dict(text="Hello, world!", speaker=speaker, language="en-us") codes = model.generate(model.prepare_conditioning(cond)) audio = model.autoencoder.decode(codes)[0].cpu() torchaudio.save("sample.wav", audio, model.autoencoder.sampling_rate) - Notebooks
- Google Colab
- Kaggle
Download assets/zonos3_mini_arloop_animated.gif from Zyphra/ZONOS3-Mini: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/Zyphra/ZONOS3-Mini/resolve/main/assets/zonos3_mini_arloop_animated.gif
- Command line
-
hf download hf://Zyphra/ZONOS3-Mini/assets/zonos3_mini_arloop_animated.gif
-
curl -L -o zonos3_mini_arloop_animated.gif https://huggingface.co/Zyphra/ZONOS3-Mini/resolve/main/assets/zonos3_mini_arloop_animated.gif
3.59 MB

- Xet hash:
- 52ac0e2a59e854ba3070c0312c3e976945eb934a899c9dda600dbb8fa6e8fc35
- Size of remote file:
- 3.59 MB
- SHA256:
- b81430e1ec1e1fc2383d877be8fa937fa0ec67efa24d75b3dacd11f009a57308
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