Audio Classification
Transformers
Safetensors
English
audio-spectrogram-transformer
audio
ast
music
mood
Instructions to use guyPerry/audio-mood-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guyPerry/audio-mood-classifier with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
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")
- Downloads last month
- 118