How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("audio-classification", model="guyPerry/audio-mood-classifier")
# Load model directly
from transformers import AutoFeatureExtractor, AutoModelForAudioClassification

extractor = AutoFeatureExtractor.from_pretrained("guyPerry/audio-mood-classifier")
model = AutoModelForAudioClassification.from_pretrained("guyPerry/audio-mood-classifier", device_map="auto")
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Audio Mood Classifier

Fine-tuned Audio Spectrogram Transformer (AST) for music mood classification.

Classes

Label Description
calm_melancholic Slow, introspective, melancholic
moderate_neutral Balanced, mid-energy, neutral feel
energetic_upbeat Fast, high-energy, upbeat

Usage

from transformers import pipeline
classifier = pipeline("audio-classification", model="guyPerry/audio-mood-classifier")
result = classifier("song.mp3")
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