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
- Xet hash:
- 5bc8a597f6c1999e05c52e9c741a516ba0dd92bb86c1fe64f91d11ba9dc4787c
- Size of remote file:
- 4.86 kB
- SHA256:
- 16a0972a9ce454d8f2cdf556501a05522d7828ff4051516b59de9f4864ff67d2
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