Instructions to use eoleedi/Breeze-ASR-25-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use eoleedi/Breeze-ASR-25-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Breeze-ASR-25-mlx eoleedi/Breeze-ASR-25-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
This model was converted to MLX format from Breeze-ASR-25
And Can be used with mlx_whisper
Install
Follow the README from mlx-examples
Example
mlx_whisper "audio.wav" --model 'eoleedi/Breeze-ASR-25-mlx'
- Downloads last month
- 39
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for eoleedi/Breeze-ASR-25-mlx
Base model
openai/whisper-large-v2 Finetuned
MediaTek-Research/Breeze-ASR-25