Instructions to use ResembleAI/Chatterbox-Multilingual-zh-cmn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use ResembleAI/Chatterbox-Multilingual-zh-cmn 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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Link model card to Chatterbox base model
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Update public model card wording
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Revert zh-cmn T3 to checkpoint 088000
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Update zh-cmn T3 to checkpoint 090000
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Add voice encoder checkpoint
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Add zh-cmn default voice conditionals
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Add S3Gen v3 weights
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Add grapheme_mtl_merged_expanded_v1.json tokenizer (vocab 2454) so the model loads out of the box
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Add link to demo Space ResembleAI/Chatterbox-Multilingual-TTS-zh-cmn
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Add model card
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Add t3_zh_cmn.safetensors
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initial commit
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