Instructions to use amupd/melgan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amupd/melgan with Transformers:
# Load model directly from transformers import MelGANGenerator model = MelGANGenerator.from_pretrained("amupd/melgan", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64f59a68af2e753224e40afae1332ae50962c22e181b4bebfbfc6d2b2682faf9
- Size of remote file:
- 12 MB
- SHA256:
- 2c69268a6b261382fd1670a753b37e842071d98f87fd1d8d3b7ab9faefacf523
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