Instructions to use Wfloat/wfloat-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Wfloat/wfloat-tts with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 453 Bytes
f71bc95 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | from .constants import EMOTION_TO_SYMBOL, INTENSITY_SYMBOLS, SPEAKER_IDS, VALID_EMOTIONS
from .infer import GeneratedAudio, WfloatGenerator, load_generator, write_wave
from .processor import PreparedInput, prepare_input
__all__ = [
"EMOTION_TO_SYMBOL",
"GeneratedAudio",
"INTENSITY_SYMBOLS",
"PreparedInput",
"SPEAKER_IDS",
"VALID_EMOTIONS",
"WfloatGenerator",
"load_generator",
"prepare_input",
"write_wave",
]
|