Instructions to use mlx-community/Chatterbox-Turbo-TTS-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Chatterbox-Turbo-TTS-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Chatterbox-Turbo-TTS-8bit mlx-community/Chatterbox-Turbo-TTS-8bit
- Chatterbox
How to use mlx-community/Chatterbox-Turbo-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
- Local Apps Settings
- LM Studio
- Xet hash:
- 03b7c2e8c10b3494cb8c81e7e7eaa4068906e67f66463fc4898673c759b841f6
- Size of remote file:
- 167 kB
- SHA256:
- 4304e325697569fc0fa064925196edd2aa9a1d4da93f8a3cca042343abce0206
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