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-v2_949MB - QLoRA compressed encoder decoder variant
3ddc513 verified - Xet hash:
- 703f2d58112358b262b6d7e5605a9bf76cf0b13e9c9cffa5e2fd361218e442a9
- Size of remote file:
- 243 Bytes
- SHA256:
- 18a25d3e04409cb8d50b431eb55a29a02c10e2309756e506953472a1e74599fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.