Instructions to use MattyB95/VIT-VoxCelebSpoof-Mel_Spectrogram-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-Mel_Spectrogram-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-Mel_Spectrogram-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-Mel_Spectrogram-Synthetic-Voice-Detection") model = AutoModelForImageClassification.from_pretrained("MattyB95/VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ecca51b2f9cb491392c7bb612dea7a6d656d7499c73904e0d550d2d2ebbb6d3
- Size of remote file:
- 4.92 kB
- SHA256:
- f40343fd967717c0d87618e38461be544f09ec9267ce847956ca83e3c63b96ea
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