Instructions to use stnleyyg/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stnleyyg/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="stnleyyg/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("stnleyyg/audio_classification") model = AutoModelForAudioClassification.from_pretrained("stnleyyg/audio_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee8b51c76208d70a93a92448086ffb029f5cdca47273b01a635f8ab4540ccfae
- Size of remote file:
- 5.3 kB
- SHA256:
- bfcfa0cb2b366768f40efdb7ee552b995c15eeb0f256edf6df6b1c0e87d61094
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