Instructions to use TerminatorPower/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use TerminatorPower/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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pretty_name: "WhisperKit CoreML Models"
viewer: false
library_name: whisperkit
tags:
- whisper
- whisperkit
- coreml
- asr
- quantized
- automatic-speech-recognition
---
# WhisperKit CoreML Models
Pre-compiled CoreML models for [WhisperKit](https://github.com/argmaxinc/WhisperKit), an on-device speech recognition framework for Apple Silicon.
## Usage
These models are drop-in replacements for the original [argmaxinc/whisperkit-coreml](https://huggingface.co/argmaxinc/whisperkit-coreml) repository. Use this repo by replacing the repo ID:
```
argmaxinc/whisperkit-coreml → TerminatorPower/whisperkit-coreml
```
## Credits
All models were originally created and compiled by **[Argmax Inc](https://github.com/argmaxinc)**. Full credit goes to the Argmax team for their work on WhisperKit and these CoreML model conversions.
- Original repo: [argmaxinc/whisperkit-coreml](https://huggingface.co/argmaxinc/whisperkit-coreml)
- WhisperKit: [github.com/argmaxinc/WhisperKit](https://github.com/argmaxinc/WhisperKit)
- WhisperKit paper (ICML 2025): [icml.cc/virtual/2025/47854](https://icml.cc/virtual/2025/47854)
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