Instructions to use cloudwalkerw/wavlm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudwalkerw/wavlm-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="cloudwalkerw/wavlm-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("cloudwalkerw/wavlm-base") model = AutoModelForAudioClassification.from_pretrained("cloudwalkerw/wavlm-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 204 Bytes
06371bb | 1 2 3 4 5 6 7 8 | {
"epoch": 10.0,
"eval_accuracy": 0.8974400257607471,
"eval_loss": 0.3307398855686188,
"eval_runtime": 508.9914,
"eval_samples_per_second": 48.81,
"eval_steps_per_second": 24.405
} |