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:
- f5371554c6eae500b61bd790c9a5572045a94e2297a81ec12b056b3e9659d162
- Size of remote file:
- 1.06 kB
- SHA256:
- a86f83e408133b9e1d6c9fc0bfb3b153eeea7db14883fb57865a812673d240c1
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