Instructions to use MelodyMachine/ModelOnlyUpload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MelodyMachine/ModelOnlyUpload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MelodyMachine/ModelOnlyUpload")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("MelodyMachine/ModelOnlyUpload") model = AutoModelForAudioClassification.from_pretrained("MelodyMachine/ModelOnlyUpload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cf338d37b14387f5e70ae23c4dd00677d4b02ca6067b0a5bee03c55e64592af
- Size of remote file:
- 378 MB
- SHA256:
- c71b6b61f2d7328585256b42b6b65c6e8b9f1c35712fc0fefea61bbafc7d478d
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