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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07b4a48e27504bdd85cd3a6ada6d44d30a10cf4d2ac19ab00de058c320bd57cc
- Size of remote file:
- 378 MB
- SHA256:
- 242ba22a319f4823a6849e4b6e4183a6b9c3baf8751d3dc39b604ee7dac7efe5
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