Instructions to use sfabriece/whisper-large-v3-atco2-asr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sfabriece/whisper-large-v3-atco2-asr-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-large-v3-atco2-asr-mlx sfabriece/whisper-large-v3-atco2-asr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- b040f23c9eb21dbd9712f7f1867ac38da4b90723ddfe634febf7d47f7bdbffd7
- Size of remote file:
- 3.08 GB
- SHA256:
- 9b56f9783729dad8a8b4d77c9ed69910407cf3028820c9e4787eaa6b93cceed4
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