Instructions to use argmaxinc/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use argmaxinc/whisperkit-coreml with WhisperKit:
# Install CLI with Homebrew on macOS device brew install whisperkit-cli # View all available inference options whisperkit-cli transcribe --help # Download and run inference using whisper base model whisperkit-cli transcribe --audio-path /path/to/audio.mp3 # Or use your preferred model variant whisperkit-cli transcribe --model "large-v3" --model-prefix "distil" --audio-path /path/to/audio.mp3 --verbose
- Notebooks
- Google Colab
- Kaggle
| pretty_name: "WhisperKit" | |
| viewer: false | |
| library_name: whisperkit | |
| tags: | |
| - whisper | |
| - whisperkit | |
| - coreml | |
| - asr | |
| - quantized | |
| - automatic-speech-recognition | |
| # WhisperKit | |
| WhisperKit is an on-device speech recognition framework for Apple Silicon: | |
| https://github.com/argmaxinc/WhisperKit | |
| For performance and accuracy benchmarks on real devices, please see: | |
| https://huggingface.co/spaces/argmaxinc/whisperkit-benchmarks | |
| WhisperKit Pro is the commercial upgraded version of WhisperKit. If you would like to learn more about upgrading to Pro, please reach out to whisperkitpro@argmaxinc.com or fill the form [here](https://huggingface.co/argmaxinc/whisperkit-pro). | |