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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff7143ae7cb9f55ac211d3ff722d6cf2a805843147ae7f226c1d8b336a73bd6b
- Size of remote file:
- 4.03 kB
- SHA256:
- 74546848373493f15ccbd223282c603aea2e8fd80f35657e743d740f8fbaae03
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