Instructions to use anderloh/TestV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/TestV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/TestV2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/TestV2") model = AutoModelForAudioClassification.from_pretrained("anderloh/TestV2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dde7a467bc788a664ff7fab239ac013ec7cd2e838e9bd9e79639206177d60243
- Size of remote file:
- 4.98 kB
- SHA256:
- e664dcab0876a5ff3b49e3509d0b9d2b6ac89be97cbdc2ed077af9625a3833a9
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