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 autoencoder/generator.pt from Zyphra/ZONOS3-Mini: direct link, hf CLI and curl.
- Browser
- Download file 7.96 GB
-
https://huggingface.co/Zyphra/ZONOS3-Mini/resolve/main/autoencoder/generator.pt
- Command line
-
hf download hf://Zyphra/ZONOS3-Mini/autoencoder/generator.pt
-
curl -L -o generator.pt https://huggingface.co/Zyphra/ZONOS3-Mini/resolve/main/autoencoder/generator.pt
7.96 GB
- Xet hash:
- 45932cc29bf53b715e985ae226823cb6d1d2afe1936d80a10768c9f57177d953
- Size of remote file:
- 7.96 GB
- SHA256:
- 75a587a3eda9ca3d345f0c305756a7ff8619b01685c261b08ae243c69c2caf9a
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