Model Details
Full Model IDOpenMuQ/MuQ-large-msd-iter
Pipeline / Taskaudio-classification
Library—
Downloads (all-time)231.5K
Likes22
Last Modified8/15/2025
Author / OrgOpenMuQ
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("audio-classification", model="OpenMuQ/MuQ-large-msd-iter")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
pytorchsafetensorsmusicaudio-classificationenzharxiv:2501.01108license:cc-by-nc-4.0region:us
More audio-classification Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: audio-classification
This model is designed for the audio-classification task. Explore more models for this use case.
All audio-classification Models →📊 Popularity
⬇ Downloads231.5K
❤️ Community Likes22
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.