Instructions to use Evan-Lin/ast-urban8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/ast-urban8k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Evan-Lin/ast-urban8k")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Evan-Lin/ast-urban8k") model = AutoModelForAudioClassification.from_pretrained("Evan-Lin/ast-urban8k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18b8b756f0d1c5182afd8e1a26c949afd70f2db724502dab633e26f7baf305a6
- Size of remote file:
- 345 MB
- SHA256:
- 80266329aa203a14dfbc08eddd53651b6a1eb5d003486cadcca99b1e579a402f
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