Instructions to use ChristianDW15/deepfake-deit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristianDW15/deepfake-deit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ChristianDW15/deepfake-deit") 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("ChristianDW15/deepfake-deit") model = AutoModelForImageClassification.from_pretrained("ChristianDW15/deepfake-deit") - Notebooks
- Google Colab
- Kaggle
File size: 322 Bytes
1f5dce0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"feature_extractor_type": "DeiTFeatureExtractor",
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225],
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
} |