Instructions to use Taki3d/CrackDetectionLowRes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taki3d/CrackDetectionLowRes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Taki3d/CrackDetectionLowRes") 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("Taki3d/CrackDetectionLowRes") model = AutoModelForImageClassification.from_pretrained("Taki3d/CrackDetectionLowRes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f231ff5b81dcce733299ce828eb07f38560cd1bf996f344458d7a4c7ebad3db
- Size of remote file:
- 343 MB
- SHA256:
- 2186811f62139aaf2c8ebbf797619b4ade40a2597dfdb3820e0f1a3da1de308a
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