Instructions to use prithivMLmods/AI-vs-Deepfake-vs-Real 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 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") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("prithivMLmods/AI-vs-Deepfake-vs-Real") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/AI-vs-Deepfake-vs-Real", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prithivMLmods/AI-vs-Deepfake-vs-Real: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/prithivMLmods/AI-vs-Deepfake-vs-Real/resolve/main/training_args.bin
- Command line
-
hf download hf://prithivMLmods/AI-vs-Deepfake-vs-Real/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prithivMLmods/AI-vs-Deepfake-vs-Real/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 6316b87f3caa8b6d440f7aa26b4d3b32c8a95d75f091aaa9617a3d157730c2bc
- Size of remote file:
- 5.3 kB
- SHA256:
- 3360ba4237fa5d6036b1a5e02fc90a5f4560937d9ef7fb2aaf691e5d6c7af539
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