metadata
language:
- fi
license: apache-2.0
library_name: mlx
tags:
- automatic-speech-recognition
- whisper
- mlx
- fi
base_model: Finnish-NLP/whisper-large-finnish-v3
pipeline_tag: automatic-speech-recognition
whisper-large-finnish-v3 (MLX, float16)
MLX conversion of Finnish-NLP/whisper-large-finnish-v3 for fast inference on Apple Silicon via mlx-whisper.
Converted with mlx-examples/whisper/convert.py at float16 precision.
Usage
pip install mlx-whisper
mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx
import mlx_whisper
result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx")
print(result["text"])