Instructions to use anderloh/TestV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/TestV3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/TestV3")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/TestV3") model = AutoModelForAudioClassification.from_pretrained("anderloh/TestV3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fdf7b767a663f22f1ad0484a0888c8c70d684cabc9c8d71bfb03999730177f5
- Size of remote file:
- 52.2 MB
- SHA256:
- 8fdf804e266039bb9ca35e843dc462274d28cc81cce868bcb48699965a79dadb
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