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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](https://huggingface.co/Finnish-NLP/whisper-medium-finnish) for fast inference on Apple Silicon via [mlx-whisper](https://github.com/ml-explore/mlx-examples/tree/main/whisper).
Converted with `mlx-examples/whisper/convert.py` at `4-bit quantized` precision.
## Usage
```bash
pip install mlx-whisper
mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-medium-finnish-mlx-4bit
```
```python
import mlx_whisper
result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-medium-finnish-mlx-4bit")
print(result["text"])
```
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