Image Classification
Transformers
TensorBoard
Safetensors
English
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use MattyB95/VIT-ASVspoof2019-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-ASVspoof2019-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-ASVspoof2019-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-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection") model = AutoModelForImageClassification.from_pretrained("MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219ed9599321cdb1aafe755cc29518f6ff5152bb4521eac5800a117182be8591
- Size of remote file:
- 4.86 kB
- SHA256:
- a84522ef01d36604bf03140f734b32a005473b2a2ebbfbd40a0a780764161f04
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