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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bhaveen/Musical-Instrument-Classification") model = AutoModelForAudioClassification.from_pretrained("Bhaveen/Musical-Instrument-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Bhaveen/Musical-Instrument-Classification: direct link, hf CLI and curl.
- Browser
- Download file 316 Bytes
-
https://huggingface.co/Bhaveen/Musical-Instrument-Classification/resolve/refs%2Fpr%2F1/README.md
- Command line
-
hf download hf://Bhaveen/Musical-Instrument-Classification@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/Bhaveen/Musical-Instrument-Classification/resolve/refs%2Fpr%2F1/README.md
316 Bytes
metadata
language: en
license: apache-2.0
tags:
- machine-learning
- transformers
'eval_loss': 1.063901662826538,
'eval_roc_auc': 0.9858799160024966,
'eval_accuracy': 0.9333333333333333,
'eval_runtime': 14.1816,
'eval_samples_per_second': 25.385,
'eval_steps_per_second': 25.385,
'epoch': 5.0