Audio Classification
Transformers
PyTorch
Safetensors
English
wav2vec2
audio
musical-instruments
Eval Results (legacy)
Instructions to use Bhaveen/Musical-Instrument-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bhaveen/Musical-Instrument-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Bhaveen/Musical-Instrument-Classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bhaveen/Musical-Instrument-Classification") model = AutoModelForAudioClassification.from_pretrained("Bhaveen/Musical-Instrument-Classification") - Notebooks
- Google Colab
- Kaggle
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{'eval_loss': 1.063901662826538,\n
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'eval_roc_auc': 0.9858799160024966,
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'eval_accuracy': 0.9333333333333333,
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'eval_runtime': 14.1816,
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'eval_samples_per_second': 25.385,
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'eval_steps_per_second': 25.385,
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'epoch': 5.0
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- transformers
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'eval_loss': 1.063901662826538,
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'eval_roc_auc': 0.9858799160024966,
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'eval_accuracy': 0.9333333333333333,
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'eval_runtime': 14.1816,
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'eval_samples_per_second': 25.385,
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'eval_steps_per_second': 25.385,
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'epoch': 5.0
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