Instructions to use z-uo/vits-male-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-uo/vits-male-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="z-uo/vits-male-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("z-uo/vits-male-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 450b6e0f2fed50c9d3b8de78df2c60131d85dde4d01061e16c000d6c4b02d319
- Size of remote file:
- 29.5 MB
- SHA256:
- 77e10343d6a5e431fe674b6821e1b3f90285e4d3195f62a21394d968d6f8fadc
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