Instructions to use mohamedrayyan/whisper-small-dv-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mohamedrayyan/whisper-small-dv-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-small-dv-mlx mohamedrayyan/whisper-small-dv-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
whisper-small-dv-mlx
This model was converted to MLX format from alakxender/whisper-small-dv-full.
A fine-tuned Whisper Small model for Dhivehi (Thaana) speech recognition, optimized for Apple Silicon via MLX.
Use with mlx-whisper
pip install mlx-whisper
import mlx_whisper
result = mlx_whisper.transcribe(
"audio.wav",
path_or_hf_repo="mohamedrayyan/whisper-small-dv-mlx",
)
print(result["text"])
Original Model
- Base model: openai/whisper-small
- Fine-tuned on: alakxender/dv-audio-syn-lg (Dhivehi audio dataset)
- eval_wer: 2.3726
- eval_wer_ortho: 15.8343
- Parameters: ~244M
- Format: float16 MLX safetensors
- Downloads last month
- 4
Hardware compatibility
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