Instructions to use DictionLabs/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use DictionLabs/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
Update README: q6q8 replaces broken q4q6, add WER validation table
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README.md
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| `openai_whisper-base` | [`openai/whisper-base`](https://huggingface.co/openai/whisper-base) | full precision |
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| `openai_whisper-small` | [`openai/whisper-small`](https://huggingface.co/openai/whisper-small) | full precision |
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| `openai_whisper-large-v3-turbo` | [`openai/whisper-large-v3-turbo`](https://huggingface.co/openai/whisper-large-v3-turbo) | full precision, 1.63 GB |
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| `dictionlabs_whisper-large-v3-turbo-
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`dictionlabs_whisper-large-v3-turbo-
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same weights, reduced precision,
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## Licence
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| `openai_whisper-base` | [`openai/whisper-base`](https://huggingface.co/openai/whisper-base) | full precision |
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| `openai_whisper-small` | [`openai/whisper-small`](https://huggingface.co/openai/whisper-small) | full precision |
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| `openai_whisper-large-v3-turbo` | [`openai/whisper-large-v3-turbo`](https://huggingface.co/openai/whisper-large-v3-turbo) | full precision, 1.63 GB |
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| `dictionlabs_whisper-large-v3-turbo-q6q8` | [`openai/whisper-large-v3-turbo`](https://huggingface.co/openai/whisper-large-v3-turbo) | compressed, 703 MB |
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`dictionlabs_whisper-large-v3-turbo-q6q8` is a compressed version of the turbo model above,
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same weights, reduced precision, about half the size. Verified against the full precision
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build with real transcription tests, not just internal accuracy checks:
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| Language | Full precision (WER/CER) | Compressed (WER/CER) |
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|---|---|---|
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| German | 2.8% | 3.4% |
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| English | 15.5% | 15.5% |
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| French | 7.8% | 8.8% |
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| Japanese | 2.6% | 2.6% |
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| Korean | 18.1% | 22.5% |
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| Chinese | 9.0% | 9.0% |
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## Licence
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