Instructions to use starkdmi/USS_MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use starkdmi/USS_MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir USS_MLX starkdmi/USS_MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Class indices come from the CC BY 4.0 dataset CSV, not the CC BY-SA ontology
Browse files
README.md
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everywhere, `1/n` at each of the `n` chosen indices — so a class list fully
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determines it.
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## Used by
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everywhere, `1/n` at each of the `n` chosen indices — so a class list fully
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determines it.
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Class indices follow AudioSet's `class_labels_indices.csv`, published by Google
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with the dataset under CC BY 4.0.
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## Used by
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