Instructions to use mlx-community/whisper-large-v3-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/whisper-large-v3-turbo with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-large-v3-turbo mlx-community/whisper-large-v3-turbo
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| library_name: mlx | |
| pipeline_tag: automatic-speech-recognition | |
| # whisper-large-v3-turbo | |
| This model was converted to MLX format from [`large-v3-turbo`](). | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-whisper | |
| ``` | |
| ```python | |
| import mlx_whisper | |
| result = mlx_whisper.transcribe( | |
| "FILE_NAME", | |
| path_or_hf_repo=mlx-community/whisper-large-v3-turbo, | |
| ) | |
| ``` | |