Instructions to use mohantesting/audio_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohantesting/audio_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mohantesting/audio_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mohantesting/audio_model") model = AutoModelForAudioClassification.from_pretrained("mohantesting/audio_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1843a3c76b2780d7f16c39c3b98ac6d850c6c8299cbea4369a2619407c5f9887
- Size of remote file:
- 5.84 kB
- SHA256:
- 32a89a6910f6535c35d486b3c3e2c303efb31da6cbc5936be64900d49b25c624
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