---
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](https://huggingface.co/Finnish-NLP/whisper-large-finnish-v3) 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 `float16` precision.

## Usage

```bash
pip install mlx-whisper
mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx
```

```python
import mlx_whisper
result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx")
print(result["text"])
```