Instructions to use scrappylabsai/warble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scrappylabsai/warble with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scrappylabsai/warble --local-dir warble
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mlx-4bit/processor_config.json from scrappylabsai/warble: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
-
https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/processor_config.json
- Command line
-
hf download hf://scrappylabsai/warble/mlx-4bit/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/processor_config.json
207 Bytes
| { | |
| "audio_sampling_rate": 44100, | |
| "auto_map": { | |
| "AutoProcessor": "processing_arktts.ArkttsProcessor" | |
| }, | |
| "num_codebooks": 10, | |
| "processor_class": "ArkttsProcessor", | |
| "semantic_begin_id": 151678 | |
| } | |