How to use digiphyte/fluister-turbo-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="digiphyte/fluister-turbo-transformers")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("digiphyte/fluister-turbo-transformers") model = AutoModelForSpeechSeq2Seq.from_pretrained("digiphyte/fluister-turbo-transformers", device_map="auto")
How to use digiphyte/fluister-turbo-transformers 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
