Instructions to use prithivMLmods/Mirage-Photo-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Mirage-Photo-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Mirage-Photo-Classifier") 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/Mirage-Photo-Classifier") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Mirage-Photo-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83db93957b65b7dd979a0408828d0f59fd51288f6973fdaa4b725760c1942673
- Size of remote file:
- 5.3 kB
- SHA256:
- b82b36bb262e454f8e5c5fe3efc83cadeb46f932ed1ecf2e64afcef391dc64f0
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