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:
- 84b90a7962e19f729af84eaf17a85f3b76b88cd8bcde2aa088efdd9d5fca5165
- Size of remote file:
- 4.98 kB
- SHA256:
- c606a2be4607a8afa47ea31dbceb6969e518adc3ca5dc83ada717167f308293c
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