Instructions to use Evan-Lin/ast-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/ast-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Evan-Lin/ast-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Evan-Lin/ast-gtzan") model = AutoModelForAudioClassification.from_pretrained("Evan-Lin/ast-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2698632d885f4f5a315e772be535b566effd0b19deac75ecb8638321d8b15e6d
- Size of remote file:
- 345 MB
- SHA256:
- 5e14d1633a305cbe64b4f32f89c2ad12926695578855806939d4c6293eeff9f7
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