MuQ-Jev
Candidate-based music classification with MuQ. Supports genre, mood, instruments, voice presence and vocal gender.
Usage
Install the inference code, then:
from muq_jev import MUQJEV
model = MUQJEV.from_pretrained("ABLingss/MUQ-JEV", device="cuda")
print(model.predict("music.wav", task="genre")["prediction"])
Up to 30 seconds per call. Scores are uncalibrated; custom-candidate performance may vary.
Use policy="raw" for direct model scores. CPU is supported with device="cpu".
License
Inference code: MIT. Included fine-tuned MuQ weights retain CC-BY-NC-4.0. MiniLM weights/tokenizer retain Apache-2.0. See the included license files.
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Model tree for ABLingss/MUQ-JEV
Base model
OpenMuQ/MuQ-large-msd-iter