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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d405363433b6c477a168a1dc7bf1b00ee7133f2adee66f3717d97121bb8a15
- Size of remote file:
- 3.96 kB
- SHA256:
- e54f88a2a356fd9073315f53af1df720a8f2b05e745be63d350425fa61bd1223
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