
# HiFi-GAN

[HiFi-GAN](https://arxiv.org/abs/2010.05646) vocoder trained on the [LJ Speech dataset](https://keithito.com/LJ-Speech-Dataset/). The modeling code is based on the [official implementation](https://github.com/jik876/hifi-gan) and the [fairseq adaptation](https://github.com/pytorch/fairseq).

## Usage

```python
from transformers import AutoModel

model = AutoModel.from_pretrained("jaketae/hifigan-lj-v1", trust_remote_code=True)
```


{"language": "en", "tags": ["audio", "text-to-speech"], "datasets": ["ljspeech"]}
transformers pytorch hifigan feature-extraction audio text-to-speech custom_code en dataset:ljspeech arxiv:2010.05646 region:us
TAGS
#transformers #pytorch #hifigan #feature-extraction #audio #text-to-speech #custom_code #en #dataset-ljspeech #arxiv-2010.05646 #region-us 


# HiFi-GAN

HiFi-GAN vocoder trained on the LJ Speech dataset. The modeling code is based on the official implementation and the fairseq adaptation.

## Usage




# HiFi-GAN

HiFi-GAN vocoder trained on the LJ Speech dataset. The modeling code is based on the official implementation and the fairseq adaptation. ## Usage
TAGS
#transformers #pytorch #hifigan #feature-extraction #audio #text-to-speech #custom_code #en #dataset-ljspeech #arxiv-2010.05646 #region-us 
 # HiFi-GAN

HiFi-GAN vocoder trained on the LJ Speech dataset. The modeling code is based on the official implementation and the fairseq adaptation. ## Usage
passage: TAGS
#transformers #pytorch #hifigan #feature-extraction #audio #text-to-speech #custom_code #en #dataset-ljspeech #arxiv-2010.05646 #region-us 
# HiFi-GAN

HiFi-GAN vocoder trained on the LJ Speech dataset. The modeling code is based on the official implementation and the fairseq adaptation.## Usage