Instructions to use wietsedv/tacotron2-gronings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use wietsedv/tacotron2-gronings with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("wietsedv/tacotron2-gronings") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
| espnet: 0.9.7 | |
| files: | |
| model_file: exp/tts_ljspeech_finetune_tacotron2.v5/train.loss.ave_5best.pth | |
| python: "3.8.8 | packaged by conda-forge | (default, Feb 20 2021, 16:22:27) \n[GCC\ | |
| \ 9.3.0]" | |
| timestamp: 1614414799.833734 | |
| torch: 1.7.1 | |
| yaml_files: | |
| train_config: exp/tts_ljspeech_finetune_tacotron2.v5/config.yaml | |