Audio Classification
Transformers
PyTorch
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use ampclass/AST_EGTZAN_PLUS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ampclass/AST_EGTZAN_PLUS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ampclass/AST_EGTZAN_PLUS")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("ampclass/AST_EGTZAN_PLUS") model = AutoModelForAudioClassification.from_pretrained("ampclass/AST_EGTZAN_PLUS") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.7758620689655172, | |
| "eval_loss": 0.6530519723892212, | |
| "eval_runtime": 132.8819, | |
| "eval_samples_per_second": 1.309, | |
| "eval_steps_per_second": 0.166 | |
| } |