Instructions to use rishikksh20/Breeze-TTS-2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rishikksh20/Breeze-TTS-2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download rishikksh20/Breeze-TTS-2-mlx --local-dir Breeze-TTS-2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download audio_tokenizer/preprocessor_config.json from rishikksh20/Breeze-TTS-2-mlx: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/rishikksh20/Breeze-TTS-2-mlx/resolve/main/audio_tokenizer/preprocessor_config.json
- Command line
-
hf download hf://rishikksh20/Breeze-TTS-2-mlx/audio_tokenizer/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/rishikksh20/Breeze-TTS-2-mlx/resolve/main/audio_tokenizer/preprocessor_config.json
234 Bytes
| { | |
| "chunk_length_s": null, | |
| "feature_extractor_type": "EncodecFeatureExtractor", | |
| "feature_size": 1, | |
| "overlap": null, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 24000 | |
| } | |