Instructions to use IPEVO/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use IPEVO/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
IPEVO WhisperKit CoreML Models
WhisperKit-compatible Core ML models used by Vurbo.ai. Converted with argmaxinc/whisperkittools.
Models
| Folder | Base model | Precision | Size | Notes |
|---|---|---|---|---|
breeze-asr-26-q8 |
MediaTek-Research/Breeze-ASR-26 | 8-bit palettized | ~1.5GB | Taiwanese Hokkien (台語) ASR, outputs Traditional Chinese |
Attribution
breeze-asr-26-q8 is a derivative of Breeze-ASR-26 by MediaTek Research
(Apache License 2.0), quantized to 8-bit and converted to Core ML for on-device
inference via WhisperKit. config.json / tokenizer.json are from
openai/whisper-large-v2 (same vocabulary).
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Model tree for IPEVO/whisperkit-coreml
Base model
openai/whisper-large-v2 Finetuned
MediaTek-Research/Breeze-ASR-26