Instructions to use DeepBeepMeep/TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/TTS with Diffusion Single File:
# 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 omnivoice/audio_tokenizer/preprocessor_config.json from DeepBeepMeep/TTS: direct link, hf CLI and curl.
- Browser
- Download file 206 Bytes
-
https://huggingface.co/DeepBeepMeep/TTS/resolve/main/omnivoice/audio_tokenizer/preprocessor_config.json
- Command line
-
hf download hf://DeepBeepMeep/TTS/omnivoice/audio_tokenizer/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/DeepBeepMeep/TTS/resolve/main/omnivoice/audio_tokenizer/preprocessor_config.json
206 Bytes
| { | |
| "feature_extractor_type": "DacFeatureExtractor", | |
| "feature_size": 1, | |
| "hop_length": 960, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 24000 | |
| } | |