Instructions to use textagent/chatterbox-multilingual-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use textagent/chatterbox-multilingual-ONNX 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
Add preprocessor_config.json for ChatterboxProcessor/AutoProcessor
Browse files- preprocessor_config.json +5 -0
preprocessor_config.json
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{
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"feature_extractor_type": "ChatterboxFeatureExtractor",
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"processor_class": "ChatterboxProcessor",
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"sampling_rate": 24000
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}
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