Instructions to use ResembleAI/Chatterbox-Multilingual-es-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use ResembleAI/Chatterbox-Multilingual-es-es 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
Update model card
Browse files
README.md
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---
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language:
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- es
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tags:
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- chatterbox
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- text-to-speech
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- tts
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- multilingual
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- private-candidate
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pipeline_tag: text-to-speech
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---
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# Chatterbox Multilingual ES-ES
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Private Chatterbox multilingual T3 candidate weights for Spanish (Spain).
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## Files
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- `t3_es_es.safetensors`: T3 state dict in safetensors format.
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## Language
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- Locale: `es-ES`
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## Checkpoint Metadata
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- Source step: `135500`
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- Source checkpoint: `t3_135500.pth.tar`
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- Tensor count: `292`
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- Dtype: `float32`
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- Text embedding shape: `(2454, 1024)`
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- Speech embedding shape: `(8194, 1024)`
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- Size: `2143990264` bytes
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- SHA256: `d85844b13ea8cb45e95b8d84a55bcfeccb2d743035cf304ee3d778fc6be39546`
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## Loader Notes
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This file is intended to be loaded by the Chatterbox multilingual T3 loader with the shared Chatterbox assets and tokenizer config. It uses the multilingual vocabulary shape `2454` and S3 speech vocabulary shape `8194`.
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This repository is private while the model candidate is under review.
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