Instructions to use vdzubenko/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use vdzubenko/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
metadata
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
Check out the WhisperKit paper and presentation from ICML 2025: https://icml.cc/virtual/2025/47854
For real-time streaming API, custom vocabulary, speaker diarization, and more, check out Argmax SDK: https://www.argmaxinc.com/blog/argmax-sdk-2