Instructions to use Sucial/so-vits-svc4.1-Tim_Cook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sucial/so-vits-svc4.1-Tim_Cook with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sucial/so-vits-svc4.1-Tim_Cook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e907e619078356bec2a13594b6622187918efe88abd4be1bc6f68f204e3fa05
- Size of remote file:
- 209 MB
- SHA256:
- a727c762532731c78a5073d7133b01e8eacd7d74366eb9e915bef33403997288
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