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:
- 7949861ea71a20e1e02367f0893fc57ce4c820199ac850112adbc860ddea9722
- Size of remote file:
- 998 MB
- SHA256:
- 54a7be376ffe13bc7e3620e6815f07d3c5c9d46f08a873c2edfde5d5511d3e2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.