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:
- bfc107f63a4803872183893f4cf713a205fdff76adc6683e325ba5dc4e7d8a0d
- Size of remote file:
- 563 kB
- SHA256:
- 30043429ddda6089be93c39d567c08012e642dd12661c14d7d9fb57aab8fc8c1
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