Image Classification
Transformers
Safetensors
English
siglip
deepfake
detection
SigLIP2
art
Synthetic
Instructions to use prithivMLmods/open-deepfake-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/open-deepfake-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/open-deepfake-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/open-deepfake-detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/open-deepfake-detection") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 252bbe4834bf4bdfb1ca9477eb4556c9fae0b1e6063c9e320962d3706d7dfc06
- Size of remote file:
- 5.3 kB
- SHA256:
- e8fe67ed70f3fccd73e38b764ae5cbe4db6218d9f6b3fa5d2f439dc363351786
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