Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use jmtzt/ast_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmtzt/ast_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jmtzt/ast_classifier")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("jmtzt/ast_classifier") model = AutoModelForAudioClassification.from_pretrained("jmtzt/ast_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8bb0dd6f751bd03efac142ad07cacb8204b7fd27d728b932823be1b99ed938e
- Size of remote file:
- 5.3 kB
- SHA256:
- ed2ba870bc474b14d733b2be8b1b80834047a9a9b553b01f545856ff8cf0bdfb
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