Instructions to use Evan-Lin/ast-esc50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/ast-esc50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Evan-Lin/ast-esc50")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Evan-Lin/ast-esc50") model = AutoModelForAudioClassification.from_pretrained("Evan-Lin/ast-esc50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 298eda87c01f30dfada8b355f8fd93c0208131b50a682b27f47150fcb30bc65d
- Size of remote file:
- 690 MB
- SHA256:
- 38e09907d6697bba5d1322d52981ea29433aaa8ac5a621a3d364706ec77ee580
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