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:
- 09d43319e8b7e85121e34afae151682cbcd4ea2945cf467ff732c05b51035cdb
- Size of remote file:
- 378 MB
- SHA256:
- 5216d43823901b81552919516bbabde99852482a63866b52cc5a7ca4ab62541d
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