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
[Request] support for lite whisper series
#3
by pzoltowski - opened
Would be great to add support for some lite whisper series:
https://huggingface.co/models?search=litewhisper
They are supported already in transformers and at least 'lite-whisper-large-v3-turbo-acc' looks interesting: Almost same WER, 50% smaller encoder size, lower latency, faster inference - especially useful on iOS.