Instructions to use MattyB95/VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MattyB95/VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MattyB95/VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("MattyB95/VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection") model = AutoModelForImageClassification.from_pretrained("MattyB95/VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c836cd616f7671b85635736a8e9d2f2343831d7da9df5c1335595992b4a1ca1
- Size of remote file:
- 4.92 kB
- SHA256:
- 3bdc01d96c339dadf434a7c45c64d78c9c1941a647effcff70f2590f9aec5c12
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