Instructions to use argmaxinc/whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use argmaxinc/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
whisperkittools-81ba3338e9e50affc6da63b97dd26b9a9d34b2ff generated files: openai_whisper-tiny
Browse files
openai_whisper-tiny/AudioEncoder.mlmodelc/weights/weight.bin
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openai_whisper-tiny/MelSpectrogram.mlmodelc/metadata.json
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source_dialect" : "TorchScript",
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"com.github.apple.coremltools.
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"com.github.apple.coremltools.
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},
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"inputSchema" : [
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{
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source_dialect" : "TorchScript",
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"com.github.apple.coremltools.version" : "7.1",
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"com.github.apple.coremltools.source" : "torch==2.2.1"
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},
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"inputSchema" : [
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{
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openai_whisper-tiny/MelSpectrogram.mlmodelc/weights/weight.bin
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openai_whisper-tiny/TextDecoder.mlmodelc/weights/weight.bin
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