Transformers How to use Zyphra/ZONOS3-Mini-hf with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="Zyphra/ZONOS3-Mini-hf", trust_remote_code=True) # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Zyphra/ZONOS3-Mini-hf", trust_remote_code=True, device_map="auto") Zonos How to use Zyphra/ZONOS3-Mini-hf 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-hf", 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)
