Instructions to use josephhaaga/transcribe-arlco-calls-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use josephhaaga/transcribe-arlco-calls-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir transcribe-arlco-calls-mlx josephhaaga/transcribe-arlco-calls-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
josephhaaga-transcribe-arlco-calls
This model was converted to MLX format from josephhaaga/transcribe-arlco-calls.
Use with mlx
pip install mlx-whisper
import mlx_whisper
result = mlx_whisper.transcribe(
"FILE_NAME",
path_or_hf_repo=mlx-community/josephhaaga-transcribe-arlco-calls,
)
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Hardware compatibility
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