Automatic Speech Recognition
WhisperKit
Core ML
Portuguese
Spanish
English
macos
apple-silicon
swift
live-captions
subtitles
speech-recognition
machine-translation
on-device
local-first
ollama
Instructions to use Veronyka/livecaption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use Veronyka/livecaption 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
File size: 419 Bytes
f1e4744 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | // swift-tools-version:5.9
import PackageDescription
let package = Package(
name: "LiveCaption",
platforms: [.macOS(.v14)],
dependencies: [
.package(url: "https://github.com/argmaxinc/WhisperKit.git", from: "0.9.0"),
],
targets: [
.executableTarget(
name: "LiveCaption",
dependencies: [.product(name: "WhisperKit", package: "WhisperKit")]
),
]
)
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