Instructions to use fydhfzh/sewd_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fydhfzh/sewd_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fydhfzh/sewd_classifier")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fydhfzh/sewd_classifier") model = AutoModelForAudioClassification.from_pretrained("fydhfzh/sewd_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca925183a7e1108c49c2f98eec08107c8bba3efe045c7685e2e0da5935bffba
- Size of remote file:
- 4.98 kB
- SHA256:
- 601a778add527b130b8abc42da0b64af815e4b89fc6a4b4082b28c43acb9e29f
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