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
Download assets/hymt2.Modelfile from Veronyka/livecaption: direct link, hf CLI and curl.
- Browser
- Download file 220 Bytes
-
https://huggingface.co/Veronyka/livecaption/resolve/main/assets/hymt2.Modelfile
- Command line
-
hf download hf://Veronyka/livecaption/assets/hymt2.Modelfile
-
curl -L -o hymt2.Modelfile https://huggingface.co/Veronyka/livecaption/resolve/main/assets/hymt2.Modelfile
220 Bytes
| FROM ./Hy-MT2-1.8B-Q4_K_M.gguf | |
| TEMPLATE """<|hy_User|>{{ .Prompt }}<|hy_Assistant|>""" | |
| PARAMETER stop "<|hy_place▁holder▁no▁2|>" | |
| PARAMETER temperature 0 | |
| PARAMETER num_ctx 1024 | |
| PARAMETER num_predict 200 | |