Instructions to use Taki3d/CrackDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taki3d/CrackDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Taki3d/CrackDetection") 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/CrackDetection") model = AutoModelForImageClassification.from_pretrained("Taki3d/CrackDetection") - Notebooks
- Google Colab
- Kaggle
Upload crack_weights_20.pt
Browse files- crack_weights_20.pt +3 -0
crack_weights_20.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8404e5e926da21264aadf12718aabfd17864e38e314bf869934306b614229d27
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size 235617984
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