Instructions to use prithivMLmods/AI-vs-Deepfake-vs-Real-9999 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/AI-vs-Deepfake-vs-Real-9999 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/AI-vs-Deepfake-vs-Real-9999") 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/AI-vs-Deepfake-vs-Real-9999") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/AI-vs-Deepfake-vs-Real-9999", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab7cf011493b1d5d38de19aea4263c94d84e680e5c039064a5fd14ea95620ebc
- Size of remote file:
- 5.3 kB
- SHA256:
- 57fdf6fbaad0fbc617e51d43e3e727a2cb5eff0f72c5fb35af4caa4e562ea3de
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