Instructions to use espnet/fastspeech2_conformer_hifigan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use espnet/fastspeech2_conformer_hifigan with Transformers:
# Load model directly from transformers import FastSpeech2ConformerHifiGan model = FastSpeech2ConformerHifiGan.from_pretrained("espnet/fastspeech2_conformer_hifigan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from espnet/fastspeech2_conformer_hifigan: direct link, hf CLI and curl.
- Browser
- Download file 55.8 MB
-
https://huggingface.co/espnet/fastspeech2_conformer_hifigan/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://espnet/fastspeech2_conformer_hifigan/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/espnet/fastspeech2_conformer_hifigan/resolve/main/pytorch_model.bin
55.8 MB
- Xet hash:
- 9c874d2590bdee838b5dceb035a7c91e2f4dd7a2fb5fae0940db058d35d1f280
- Size of remote file:
- 55.8 MB
- SHA256:
- 0b9bc64b2dcd2a463a2bb6bcf89c9482015fe8e75cbabee59e314ae7cad1cb47
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