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
File size: 423 Bytes
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---
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
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