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
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WhisperKit is an on-device speech recognition framework for Apple Silicon:
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https://github.com/argmaxinc/WhisperKit
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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).
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WhisperKit is an on-device speech recognition framework for Apple Silicon:
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https://github.com/argmaxinc/WhisperKit
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Check out the WhisperKit paper and presentation from ICML 2025:
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https://icml.cc/virtual/2025/47854
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For real-time streaming API, custom vocabulary, speaker diarization, and more, check out Argmax SDK: https://www.argmaxinc.com/blog/argmax-sdk-2
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