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:
- 28370a6aa105d29ebd4cd5365066710d46b9e505f2215a74d31438730f63c772
- Size of remote file:
- 378 MB
- SHA256:
- 7bf3a605f98b3b4e2560ecf3fc233c44032aa9604f08f8d1e44ca0b4c3305231
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