Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Instructions to use kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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tags:
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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metrics:
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- accuracy
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model-index:
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