Instructions to use Rybib/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use Rybib/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 | |
| ## Repo | |
| WhisperKit is part of Argmax OSS, an On-device Speech AI SDK for Apple Silicon: | |
| https://github.com/argmaxinc/argmax-oss-swift | |
| ## Paper | |
| Check out the WhisperKit paper and presentation from ICML 2025: | |
| https://icml.cc/virtual/2025/47854 | |
| ## Pro | |
| For real-time transcription with speakers and custom vocabulary, check out Argmax Pro SDK: https://www.argmaxinc.com/blog/argmax-sdk-2 | |