🤖 audio-classification

audiobox-aesthetics

facebook/audiobox-aesthetics

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Model Details
Full Model IDfacebook/audiobox-aesthetics
Pipeline / Taskaudio-classification
Library
Downloads (all-time)112.2K
Likes48
Last Modified3/4/2025
Author / Orgfacebook
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="facebook/audiobox-aesthetics")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
safetensorsmodel_hub_mixinpytorch_model_hub_mixinaudio-classificationarxiv:2502.05139license:cc-by-4.0region:us
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🚀 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
Downloads112.2K
❤️ Community Likes48
🛠️ 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.
👋 Need help with code?