Instructions to use arampacha/hifigan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/hifigan with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arampacha/hifigan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fff2eb981aef8772f9ba9e82de2be59374e4e22c586bf9048fe10c965ca64649
- Size of remote file:
- 960 MB
- SHA256:
- 9418cde901d2faed35376f1841e07ddbad6dc760abb4292d795e02df05f7b5cd
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