Instructions to use jaimin/soundclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/soundclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jaimin/soundclassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jaimin/soundclassification") model = AutoModelForAudioClassification.from_pretrained("jaimin/soundclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54ab854ad821da8c188f09452fd01542d99c91a245e3ccb3063aba7e4df21133
- Size of remote file:
- 3.06 kB
- SHA256:
- 881b37e2c484a63d463e66abd657d6542d574a9cc44080ef23c04fa90ceba58d
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