Instructions to use soniqo/Chatterbox-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use soniqo/Chatterbox-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Chatterbox
How to use soniqo/Chatterbox-LiteRT 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
Commit History
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Update public model card
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fp16 T3 (multilingual; int8 was English-only). T3 prefill/step -> fp16 986/1001MB.
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Chatterbox Multilingual LiteRT bundle (selective-int8): 5 graphs + manifest + tokenizer + card
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Chatterbox Multilingual LiteRT bundle (selective-int8): 5 graphs + manifest + tokenizer + card
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Chatterbox Multilingual LiteRT bundle (selective-int8): 5 graphs + manifest + tokenizer + card
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initial commit
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