Instructions to use smdesai/Chatterbox-Multilingual-TTS-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use smdesai/Chatterbox-Multilingual-TTS-8bit 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
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Verified signature# Chatterbox Multilingual TTS — 8-bit Quantized This is an 8-bit quantized port of [ResembleAI's Chatterbox Multilingual TTS](https://huggingface.co/ResembleAI/chatterbox), reducing memory footprint while preserving the original 23-language coverage. **This repository contains only the quantized weights plus auxiliary text-processing files.** Model weights, architecture, and training are entirely ResembleAI's work — all credit for the underlying model goes to the Chatterbox team. This port adds only 8-bit quantization and bundles per-language text-processing helpers. ## What's included | File / Directory | Role | |---|---| | `model.safetensors` | 8-bit quantized model weights (1.33 GB) | | `config.json` | Model config | | `tokenizer.json` / `tokenizer_config.json` / `vocab.txt` | Tokenizer | | `Cangjie5_TC.json` | Traditional Chinese Cangjie input-method dictionary (Chinese text preprocessing) | | `russian_stress_dict.json.gz` | Russian word-stress dictionary (stress mark insertion…0bb437e
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