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:
- dd1673bef1e30dce1ac10c6597af04ee4b4a2d80406c4f8bdca959a6e2699dfb
- Size of remote file:
- 378 MB
- SHA256:
- eec91a7871bda9571297c047bd678eb274248d85e192758f8ea843bf997b22c5
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