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/AudioEncoder.mlmodelc/coremldata.bin from argmaxinc/whisperkit-coreml: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/argmaxinc/whisperkit-coreml/resolve/a44e8b1c442b86e3fbd8b3ebd972592999246bd1/openai_whisper-large-v3_turbo_1018MB/AudioEncoder.mlmodelc/coremldata.bin
- Command line
-
hf download hf://argmaxinc/whisperkit-coreml@a44e8b1c442b86e3fbd8b3ebd972592999246bd1/openai_whisper-large-v3_turbo_1018MB/AudioEncoder.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/argmaxinc/whisperkit-coreml/resolve/a44e8b1c442b86e3fbd8b3ebd972592999246bd1/openai_whisper-large-v3_turbo_1018MB/AudioEncoder.mlmodelc/coremldata.bin
348 Bytes
- Xet hash:
- eb9aaac99a047c3ea6c9a02b14da317628f90bdc80d7ba6c15846401e6303230
- Size of remote file:
- 348 Bytes
- SHA256:
- cb664c4d1bad4718501aec8ce5a850f1711dfd44f9bbbb26174191d670f78963
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