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:
- 10801c90908e0d16b775557482bb03c43933c9cc91843ded623a1538df0eba25
- Size of remote file:
- 687 MB
- SHA256:
- 2f1109fcd39b47d37837895d9200d3a2e47a1cf97cf100003a8e0a843e0a58c6
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