Automatic Speech Recognition
WhisperKit
Core ML
Chinese
English
whisper
apple-neural-engine
on-device
taiwanese-mandarin
code-switching
Instructions to use fredchu/breeze-asr-25-whisperkit-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use fredchu/breeze-asr-25-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
Download MelSpectrogram.mlmodelc/coremldata.bin from fredchu/breeze-asr-25-whisperkit-coreml: direct link, hf CLI and curl.
- Browser
- Download file 389 Bytes
-
https://huggingface.co/fredchu/breeze-asr-25-whisperkit-coreml/resolve/main/MelSpectrogram.mlmodelc/coremldata.bin
- Command line
-
hf download hf://fredchu/breeze-asr-25-whisperkit-coreml/MelSpectrogram.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/fredchu/breeze-asr-25-whisperkit-coreml/resolve/main/MelSpectrogram.mlmodelc/coremldata.bin
389 Bytes
- Xet hash:
- 86241c7235a55002d0312b67761063ea3cf6b0102064c88e637bbb3f4ae90c5a
- Size of remote file:
- 389 Bytes
- SHA256:
- bab29405bb558e6fc737dbc16d705084e6362a864815f5fef6ddbcc403547b8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.