Instructions to use anderloh/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/testModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/testModel")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/testModel") model = AutoModelForAudioClassification.from_pretrained("anderloh/testModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 782.22, | |
| "eval_accuracy": 0.9622641509433962, | |
| "eval_loss": 0.19936275482177734, | |
| "eval_runtime": 2.0221, | |
| "eval_samples_per_second": 78.632, | |
| "eval_steps_per_second": 4.945, | |
| "train_loss": 0.0709631282125007, | |
| "train_runtime": 5794.2307, | |
| "train_samples_per_second": 98.995, | |
| "train_steps_per_second": 1.519 | |
| } |