---
library_name: mlx
---

# whisper-tiny-khmer-mlx-fp32
This model was converted to MLX format from [`openai-whisper-tiny`]().

## Use with mlx
```bash
pip install mlx-whisper
```

Write a python script, `example.py`, as the following
```python
import mlx_whisper

result = mlx_whisper.transcribe(
    SPEECH_FILE_NAME,
    path_or_hf_repo="Kimang18/whisper-tiny-khmer-mlx-fp32",
    fp16=False
)
print(result['text']) # print khmer text in SPEECH_FILE_NAME
```
Then execute this script `example.py` to see the result.

You can also use command line in terminal

```bash
mlx_whisper --model Kimang18/whisper-tiny-khmer-mlx-fp32 --task transcribe SPEECH_FILE_NAME --fp16 False
```