Instructions to use espnet/kan-bayashi_jsut_fastspeech2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/kan-bayashi_jsut_fastspeech2 with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("espnet/kan-bayashi_jsut_fastspeech2") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
| espnet: 0.8.0 | |
| files: | |
| model_file: exp/tts_train_fastspeech2_raw_phn_jaconv_pyopenjtalk/train.loss.ave_5best.pth | |
| python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]" | |
| timestamp: 1600239054.48082 | |
| torch: 1.6.0 | |
| yaml_files: | |
| train_config: exp/tts_train_fastspeech2_raw_phn_jaconv_pyopenjtalk/config.yaml | |