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:
- 43e39ab08251199653b78179e21b6713960d2af3a0f8a5ff0ae90e7cd6a7a2e7
- Size of remote file:
- 998 MB
- SHA256:
- 76c897544b0568e1ad9521fd3cacd69591c3cef394dd8e9fb088140306e9a103
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