Instructions to use prithivMLmods/Deepfake-Detection-Exp-02-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Deepfake-Detection-Exp-02-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Deepfake-Detection-Exp-02-21") 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("prithivMLmods/Deepfake-Detection-Exp-02-21") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Deepfake-Detection-Exp-02-21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 476a5aecf3cf23fa37b313ee8745c7d8c92ee26867582399fe5d05243d1d7ba8
- Size of remote file:
- 5.24 kB
- SHA256:
- acdd47732c6754cf9735667b2ebea30b1a3f6b3064647e0e457f9b581fcb60fd
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