Instructions to use anderloh/FinetunedWav2vec5ClassProblemNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/FinetunedWav2vec5ClassProblemNew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/FinetunedWav2vec5ClassProblemNew")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/FinetunedWav2vec5ClassProblemNew") model = AutoModelForAudioClassification.from_pretrained("anderloh/FinetunedWav2vec5ClassProblemNew") - Notebooks
- Google Colab
- Kaggle
File size: 204 Bytes
eef99e5 | 1 2 3 4 5 6 7 8 | {
"epoch": 237.29,
"eval_accuracy": 0.7447552447552448,
"eval_loss": 0.7855107188224792,
"eval_runtime": 4.8875,
"eval_samples_per_second": 58.516,
"eval_steps_per_second": 3.683
} |