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
File size: 563 Bytes
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---
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
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