Instructions to use Milana/model-classifier-vctk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milana/model-classifier-vctk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Milana/model-classifier-vctk")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Milana/model-classifier-vctk") model = AutoModelForAudioClassification.from_pretrained("Milana/model-classifier-vctk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0a84b21c9d92db8f796a2e143d6453da8a2b0de1bc873906815c7a9c9b18377
- Size of remote file:
- 3.86 GB
- SHA256:
- 38bf9096a3584f2687d1902fa65d4efd5201d86c1d5de243ebe99a6cc1d1ca77
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