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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- `config.json` includes the token mapping needed by the processor.
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- The current release uses a multi-speaker model with 20 speakers.
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- Training code: [https://github.com/wfloat/piper](https://github.com/wfloat/piper)
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- `config.json` includes the token mapping needed by the processor.
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- The current release uses a multi-speaker model with 20 speakers.
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- Training code: [https://github.com/wfloat/piper](https://github.com/wfloat/piper)
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- Checkpoint needed to resume training: [epoch=710-step=258422.ckpt](https://huggingface.co/Wfloat/wfloat-tts/blob/main/epoch%3D710-step%3D258422.ckpt).
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