Instructions to use argmaxinc/whisperkit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use argmaxinc/whisperkit-mlx 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
- MLX
How to use argmaxinc/whisperkit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download argmaxinc/whisperkit-mlx --local-dir whisperkit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download openai_whisper-tiny/config.json from argmaxinc/whisperkit-mlx: direct link, hf CLI and curl.
- Browser
- Download file 262 Bytes
-
https://huggingface.co/argmaxinc/whisperkit-mlx/resolve/main/openai_whisper-tiny/config.json
- Command line
-
hf download hf://argmaxinc/whisperkit-mlx/openai_whisper-tiny/config.json
-
curl -L -o config.json https://huggingface.co/argmaxinc/whisperkit-mlx/resolve/main/openai_whisper-tiny/config.json
262 Bytes
| { | |
| "n_mels": 80, | |
| "n_audio_ctx": 1500, | |
| "n_audio_state": 384, | |
| "n_audio_head": 6, | |
| "n_audio_layer": 4, | |
| "n_vocab": 51865, | |
| "n_text_ctx": 448, | |
| "n_text_state": 384, | |
| "n_text_head": 6, | |
| "n_text_layer": 4, | |
| "model_type": "whisper" | |
| } |