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:
- 395b2fc8745a38a4cb36430ae6bdcf3f9510294377b55fcf7f72740b90504084
- Size of remote file:
- 343 MB
- SHA256:
- b1ddd4b97a8bdbf98c55dd98a571dcef14d4e2444c2425a8b0010fe8ae1f0d25
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