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
Download src/wfloat_tts/__init__.py from Wfloat/wfloat-tts: direct link, hf CLI and curl.
- Browser
- Download file 453 Bytes
-
https://huggingface.co/Wfloat/wfloat-tts/resolve/6fa84b62a7a9237b75b040b2cfd4e55ff9f1bb71/src/wfloat_tts/__init__.py
- Command line
-
hf download hf://Wfloat/wfloat-tts@6fa84b62a7a9237b75b040b2cfd4e55ff9f1bb71/src/wfloat_tts/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Wfloat/wfloat-tts/resolve/6fa84b62a7a9237b75b040b2cfd4e55ff9f1bb71/src/wfloat_tts/__init__.py
453 Bytes
| 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", | |
| ] | |