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
- Atomic Chat
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Download README.md from HashNuke/whisper-tiny-mlx: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/HashNuke/whisper-tiny-mlx/resolve/main/README.md
- Command line
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hf download hf://HashNuke/whisper-tiny-mlx/README.md
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curl -L -o README.md https://huggingface.co/HashNuke/whisper-tiny-mlx/resolve/main/README.md
345 Bytes
metadata
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
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")