Instructions to use juliardi/chatterbox-multilingual-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use juliardi/chatterbox-multilingual-finetuned with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a7b7abb061f9a6f8cf8ada842725e9b82594b3d6fe6a61e6895f53f70aff5e
- Size of remote file:
- 2.14 GB
- SHA256:
- 5ea0ac1d8fe4c59431dacf057dfbcf439a410ed14a3d0f9e7c3be99650d3e65a
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