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
- Xet hash:
- 20bfdf68807453ded116caf5cecdffe74c247b5bf52fcd5ebfd8b1b8cf495820
- Size of remote file:
- 41.2 MB
- SHA256:
- 74f15e6d2f7694af54e90227cbf22fd6c04082638f163b78a909967b16edc1c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.