Instructions to use iliasaz/chatterbox-multilingual-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use iliasaz/chatterbox-multilingual-coreml 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
Ctrl+K
- CAMPPlus.mlpackage
- MatchaMel.mlpackage
- S3CFM.mlpackage
- S3Encoder.mlpackage
- S3Tokenizer.mlpackage
- S3Vocoder.mlpackage
- T3LM.mlpackage
- VELSTM.mlpackage
- VEMel.mlpackage
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