Instructions to use assoni2002/old_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use assoni2002/old_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="assoni2002/old_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("assoni2002/old_model") model = AutoModelForAudioClassification.from_pretrained("assoni2002/old_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfc01b7f9407f81f8e7e64647799e85fe15fc7c3c21211d4a5aa5f8d8d714374
- Size of remote file:
- 5.84 kB
- SHA256:
- c8f711d56422090d108caf4f0ec79c24bae7d1c338cde7ea777c89d8eb07c2f9
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