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
Upload model openai_whisper-large-v3_turbo_1018MB - QLoRA compressed decoder variant
1f70591 verified Download openai_whisper-large-v3_turbo_1018MB/MelSpectrogram.mlmodelc/coremldata.bin from argmaxinc/whisperkit-coreml: direct link, hf CLI and curl.
- Browser
- Download file 329 Bytes
-
https://huggingface.co/argmaxinc/whisperkit-coreml/resolve/734b01ab080c2c23a78e9b34c53c8d3bcd3bc693/openai_whisper-large-v3_turbo_1018MB/MelSpectrogram.mlmodelc/coremldata.bin
- Command line
-
hf download hf://argmaxinc/whisperkit-coreml@734b01ab080c2c23a78e9b34c53c8d3bcd3bc693/openai_whisper-large-v3_turbo_1018MB/MelSpectrogram.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/argmaxinc/whisperkit-coreml/resolve/734b01ab080c2c23a78e9b34c53c8d3bcd3bc693/openai_whisper-large-v3_turbo_1018MB/MelSpectrogram.mlmodelc/coremldata.bin
329 Bytes
- Xet hash:
- 2191e45e9e764773a496b7e7c909ed9dbd36d7009f5c1b15d1e3bfc7741318bf
- Size of remote file:
- 329 Bytes
- SHA256:
- 20c21e0be617e29544a1a4a1457dc23fe698139f6233ddea886f297aa8dfe877
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