Instructions to use HashNuke/whisper-tiny-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/whisper-tiny-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-tiny-mlx HashNuke/whisper-tiny-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 345 Bytes
14e633c 55dc2e6 14e633c 55dc2e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ---
library_name: mlx
license: mit
base_model:
- openai/whisper-tiny
---
# whisper-tiny-mlx
This model was converted to MLX format from [`tiny`]().
## Use with mlx
```bash
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/whisper/
pip install -r requirements.txt
>> import whisper
>> whisper.transcribe("FILE_NAME")
``` |