Instructions to use prithivMLmods/Deepfake-QualityAssess-88M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Deepfake-QualityAssess-88M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Deepfake-QualityAssess-88M") 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-QualityAssess-88M") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Deepfake-QualityAssess-88M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c62256b553cbf4ec625335defde23d422584bc065fb84eeef2c7b7e87aaf82a
- Size of remote file:
- 5.24 kB
- SHA256:
- f0230328d600e2ef93d87ed436f2aa3fc2ea9129b7d62c4beeed3162feac3a4d
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