Instructions to use fnx/so-vits-svc-4.0-ru-saya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fnx/so-vits-svc-4.0-ru-saya with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fnx/so-vits-svc-4.0-ru-saya", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fad17b8a8e8d39e5044b5ed9f67ded9b5bd23f6c6caba679aa36b0f674ad0d1
- Size of remote file:
- 543 MB
- SHA256:
- dfcf9f33fbaec9dc045c154b3d3a08268c896562497e93653170b8b52d30903d
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