Instructions to use Wfloat/wfloat-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Wfloat/wfloat-tts with Piper:
# 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
- Notebooks
- Google Colab
- Kaggle
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README.md
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# wfloat-tts
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`wfloat-tts` is a lightweight multi-speaker English VITS text-to-speech model with speaker, emotion, and intensity control.
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## On-Device packages
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# wfloat-tts
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`wfloat-tts` is a lightweight multi-speaker English VITS text-to-speech model with speaker, emotion, and intensity control. Includes [samples](https://huggingface.co/Wfloat/wfloat-tts#sample-outputs).
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## On-Device packages
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