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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| 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 | |