Instructions to use gabrielyang/audioclassification_en_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielyang/audioclassification_en_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="gabrielyang/audioclassification_en_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("gabrielyang/audioclassification_en_model") model = AutoModelForAudioClassification.from_pretrained("gabrielyang/audioclassification_en_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87f49c0485eba6aec6e189e001588ccd2ea481bb7e8c0816d398fe2cf18b0e81
- Size of remote file:
- 3.64 kB
- SHA256:
- b3b64a153fedbdc59cd0cfea15ddcc256171370745b46012606343eb1a600cfe
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