Instructions to use marifulhaque/ast_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marifulhaque/ast_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="marifulhaque/ast_classifier")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("marifulhaque/ast_classifier") model = AutoModelForAudioClassification.from_pretrained("marifulhaque/ast_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27e388e3c367e5a78f3db459e6be5bb9455aa9b9ef63c59838453d07d390b86e
- Size of remote file:
- 345 MB
- SHA256:
- 2280b1d6be74b92a941ce8a22e808de59e916db39349432c05d7660e1062de2d
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