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:
- b04a5a6b0608998d687863dd0f746dc323cc2cf3dc3225b56613b74af48e447a
- Size of remote file:
- 543 MB
- SHA256:
- 610f3c35784c2a73466cbd99fc72fcf94fd16846dfd3b6af7ce74e90da67f711
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