Automatic Speech Recognition
WhisperKit
Core ML
speakerkit
pyannote
diarization
speaker-diarization
whisper
asr
quantized
Instructions to use argmaxinc/speakerkit-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use argmaxinc/speakerkit-pro 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
Create LICENSE_NOTICE.txt
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by EduardoPacheco - opened
speaker_clusterer/pyannote-v4/LICENSE_NOTICE.txt
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Argmax proprietary and confidential. Under NDA.
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Copyright 2025 Argmax, Inc. All rights reserved.
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Unauthorized access, copying, use, distribution, and or commercialization of this file, via any medium or means is strictly prohibited.
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Please contact Argmax for licensing information at info@argmaxinc.com.
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speaker_clusterer/pyannote-v4/README.txt
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# License
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Original model weights: https://github.com/BUTSpeechFIT/VBx?tab=readme-ov-file#license
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Argmax-optimized model asset (Assets with `.mlmodelc` extension): https://huggingface.co/argmaxinc/speakerkit-pro/blob/main/LICENSE_NOTICE.txt
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Please contact info@argmaxinc.com for licensing SpeakerKit Pro assets
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