WhisperKit
Core ML
Chinese
whisper-event
Generated from Trainer
apple
apple silicon
Eval Results (legacy)
Instructions to use hyperkit/distil-whisper-small-cantonese-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use hyperkit/distil-whisper-small-cantonese-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
Download MelSpectrogram.mlmodelc/weights/weight.bin from hyperkit/distil-whisper-small-cantonese-coreml: direct link, hf CLI and curl.
- Browser
- Download file 354 kB
-
https://huggingface.co/hyperkit/distil-whisper-small-cantonese-coreml/resolve/main/MelSpectrogram.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://hyperkit/distil-whisper-small-cantonese-coreml/MelSpectrogram.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/hyperkit/distil-whisper-small-cantonese-coreml/resolve/main/MelSpectrogram.mlmodelc/weights/weight.bin
354 kB
- Xet hash:
- a34f10d8ea1c752af13a3af0231034cdde46b464b7bd53c057ac464ac9d5ed42
- Size of remote file:
- 354 kB
- SHA256:
- 801024dbc7a89c677be1f8b285de3409e35f7d1786c9c8d9d0d6842ac57a1c83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.