Instructions to use aufklarer/WavLM-Base-Plus-MLX-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aufklarer/WavLM-Base-Plus-MLX-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir WavLM-Base-Plus-MLX-fp16 aufklarer/WavLM-Base-Plus-MLX-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- f6bb49d4c40beb7070bfb669b77e8cb59a2f737a94b6dc7ed6295f38b3160502
- Size of remote file:
- 378 MB
- SHA256:
- 1a252e49ddf1897f1f07f0d73c2a7cca86a05b0ad8d0189a6edc0ad3e55f1ae6
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