Instructions to use nomsgadded/Audio_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomsgadded/Audio_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="nomsgadded/Audio_Classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("nomsgadded/Audio_Classification") model = AutoModelForAudioClassification.from_pretrained("nomsgadded/Audio_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 165 Bytes
28ff938 | 1 2 3 4 5 6 7 | {
"epoch": 5.0,
"train_loss": 0.30798943754355584,
"train_runtime": 3609.9688,
"train_samples_per_second": 89.65,
"train_steps_per_second": 1.4
} |