Instructions to use david20571015/Breeze-ASR-25-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use david20571015/Breeze-ASR-25-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Breeze-ASR-25-mlx-q8 david20571015/Breeze-ASR-25-mlx-q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Breeze-ASR-25-mlx-q8
This model was converted to MLX format from MediaTek-Research/Breeze-ASR-25.
Use with mlx
pip install mlx-whisper
import mlx_whisper
result = mlx_whisper.transcribe(
"FILE_NAME",
path_or_hf_repo=david20571015/Breeze-ASR-25-mlx-q8,
)
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Hardware compatibility
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Model tree for david20571015/Breeze-ASR-25-mlx-q8
Base model
openai/whisper-large-v2 Finetuned
MediaTek-Research/Breeze-ASR-25