Instructions to use Professor/kinyarwanda-tacotron2-espnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Professor/kinyarwanda-tacotron2-espnet with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff209f4abd7bbf075dc9a1937eb26b794846b1e1423ed0d47e21d7188f2bceb8
- Size of remote file:
- 107 MB
- SHA256:
- 34eab9634b0cc3bf947962d14c7628e24dc4039bc642f3d26de195f0ff6a3b8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.