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:
- c706afb0b689dcd9aed98ad61ad961b5204c3e3bc9776d24094f1c34f7fe53fc
- Size of remote file:
- 7.38 kB
- SHA256:
- 4f355e4cfc6bea899b039ad1db82a73585a5b0f5aeb91131151dc675cd235207
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