Instructions to use smdesai/Chatterbox-Multilingual-TTS-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use smdesai/Chatterbox-Multilingual-TTS-8bit 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
Chatterbox-Multilingual-TTS-8bit / HebrewDiacritization.mlpackage /Data /com.apple.CoreML /model.mlmodel
- Xet hash:
- 53fed6992c968c5df457685a698a97b9b0bc041d81e98c1945ed481ab081f061
- Size of remote file:
- 266 kB
- SHA256:
- 454c7d2671f19fe5c79e1217320bcd466ae85429c949d0a1874322f35d3d3b4f
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