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
Download VELSTM.mlpackage/Data/com.apple.CoreML/model.mlmodel from iliasaz/chatterbox-multilingual-coreml: direct link, hf CLI and curl.
- Browser
- Download file 13 kB
-
https://huggingface.co/iliasaz/chatterbox-multilingual-coreml/resolve/main/VELSTM.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://iliasaz/chatterbox-multilingual-coreml/VELSTM.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/iliasaz/chatterbox-multilingual-coreml/resolve/main/VELSTM.mlpackage/Data/com.apple.CoreML/model.mlmodel
13 kB
- Xet hash:
- 4a0fa477ae6a468ad7c796232b627b69b322c7c3b3af4863b1fb515c45113491
- Size of remote file:
- 13 kB
- SHA256:
- f439da5ba19c4c9eb21dbc06b0f72b27b41e178d21769083d25f7a439b95a9b9
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