Instructions to use ogarand-via/whisperkit-coreml-qc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use ogarand-via/whisperkit-coreml-qc 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
Whisper large-v3-turbo — Québec French — CoreML (WhisperKit)
CoreML conversion of ele-sage/whisper-large-v3-turbo-fr-quebecois
for on-device transcription with WhisperKit.
Original model and all credit belong to ele-sage (© ele-sage, MIT License). This
repository redistributes a format conversion only — ele-sage's weights transformed to
CoreML via WhisperKit's whisperkit-generate-model. No retraining or modification of the
model was performed here.
Layout
ele-sage_whisper-large-v3-turbo-fr-quebecois/ — the WhisperKit CoreML bundle (AudioEncoder / TextDecoder / MelSpectrogram .mlmodelc).
Usage (WhisperKit)
let config = WhisperKitConfig(model: "ele-sage_whisper-large-v3-turbo-fr-quebecois", modelRepo: "ogarand-via/whisperkit-coreml-qc")
let kit = try await WhisperKit(config)
License
MIT, inherited from the base model — see the base model card for full terms.
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Model tree for ogarand-via/whisperkit-coreml-qc
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo