metadata
language:
- fi
license: apache-2.0
library_name: mlx
tags:
- automatic-speech-recognition
- whisper
- mlx
- 4-bit
- fi
base_model: Finnish-NLP/whisper-medium-finnish
pipeline_tag: automatic-speech-recognition
whisper-medium-finnish (MLX, 4-bit quantized)
MLX conversion of Finnish-NLP/whisper-medium-finnish for fast inference on Apple Silicon via mlx-whisper.
Converted with mlx-examples/whisper/convert.py at 4-bit quantized precision.
Usage
pip install mlx-whisper
mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-medium-finnish-mlx-4bit
import mlx_whisper
result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-medium-finnish-mlx-4bit")
print(result["text"])