Instructions to use amupd/hifigan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amupd/hifigan with Transformers:
# Load model directly from transformers import SpeechT5HifiGan model = SpeechT5HifiGan.from_pretrained("amupd/hifigan", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc35b0b8e42525750a696bd3630cecccb22afce3ba46bd641f289fbef5311391
- Size of remote file:
- 50.7 MB
- SHA256:
- ab940ff56adece746b9c1b3f84efdf9d0fae2d944403d9aa236bd0239299b107
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