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:
- da1e077b2af1d49068b6172782b2d0c4d2a46e6f24da18ce5c2a15de82026854
- Size of remote file:
- 543 MB
- SHA256:
- b3f9a8210fc7ab9a1de21952542276f43e12ae0a3eecf4f41bd176a4e01c76d2
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