Instructions to use binmacn/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binmacn/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="binmacn/results")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("binmacn/results") model = AutoModelForAudioClassification.from_pretrained("binmacn/results") - Notebooks
- Google Colab
- Kaggle
Ctrl+K