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dj-genre-openl3
radkinz/dj-genre-openl3
dj-genre-openl3 is a machine learning model from radkinz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Public
Updated Jan 1, 2026
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34.4 KB
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.joblib34.4 KB · 89%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026
- SHA
- 95570688
Model card
From the Hugging Face model README
DJ Music Genre Classifier
Version: v1.0 (initial release)
A lightweight DJ-oriented music genre classifier trained on OpenL3 audio embeddings and a scikit-learn classifier. Designed for fast, local inference on arbitrary MP3 files.
Genres
- Jersey Club
- Dariacore
- House
- Techno
- Pop
How it works
MP3 → OpenL3 embedding (512-D) → scikit-learn classifier → genre + confidence
Files
genre_clf.joblib— trained modellabel_map.json— output labelsrequirements.txt— runtime dependencies
Usage
pip install -r requirements.txt
python classify.py "song.mp3"
- License
- mit
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026