Instructions to use Shreeyut/Audio-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shreeyut/Audio-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Shreeyut/Audio-Classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Shreeyut/Audio-Classification") model = AutoModelForAudioClassification.from_pretrained("Shreeyut/Audio-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe515a6ffaea3b964c0cfbfd59b567dc9545b4f9ad8a0f83c56dc620fc973c6
- Size of remote file:
- 5.37 kB
- SHA256:
- 800d98de320070a5fbd377e292acca06923ab317cacb49ea6967bfea9d70d97c
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