Text-to-Speech
Transformers
Safetensors
English
multilingual
sonus
tts
voice-cloning
zero-shot
audio
speech
Instructions to use comethrusws/sonus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comethrusws/sonus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="comethrusws/sonus")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("comethrusws/sonus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# Sonus
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A massively multilingual zero-shot text-to-speech synthesis system
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---
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language:
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- en
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- multilingual
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license: other
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library_name: transformers
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tags:
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- text-to-speech
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- tts
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- voice-cloning
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- multilingual
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- zero-shot
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- audio
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- speech
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datasets:
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- multilingual-speech
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metrics:
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- mos
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pipeline_tag: text-to-speech
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---
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# Sonus
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A massively multilingual zero-shot text-to-speech synthesis system
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