Instructions to use tinypocket/akouo-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use tinypocket/akouo-whisper 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
akouo — Whisper (Core ML)
Core ML builds of OpenAI Whisper, used by akouo for iOS for fully on-device transcription.
This is a mirror, hosted so the app does not depend on a third-party repository at runtime. The weights are unmodified.
Provenance
- Converted to Core ML by Argmax, from argmaxinc/whisperkit-coreml.
- Original models: OpenAI Whisper —
tiny,base,small. - Runs via WhisperKit (MIT).
Licence
Apache-2.0, inherited from the upstream OpenAI Whisper models, each of which is published under Apache-2.0 on the Hub. Core ML conversion does not alter the terms.
Note that Argmax does not declare a licence on the source repository. The licence stated here is a good-faith reading of what these weights derive from, not a grant by tinypocket.
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