Automatic Speech Recognition
Safetensors
MLX
mlx-audio-plus
whisper
speech-recognition
speech-to-text
stt
Instructions to use mlx-community/whisper-medium-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/whisper-medium-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-medium-fp16 mlx-community/whisper-medium-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 9766724f76e39e7a09e9cd5423499e8b74674cb049aa3d312f1434dd2aad2102
- Size of remote file:
- 1.52 GB
- SHA256:
- 99124dd47fbc696d18fa706f107812b2b07faee830c00977d31b977c9b6e452f
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