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:
- d85e995e0694cce32d46f14ecf5dd25038d9a54a6fb9058b8d017d324c7a9cb8
- Size of remote file:
- 343 MB
- SHA256:
- c3f130e9d8749ab37432a867400d5569625443709007a1be97c887dda8078572
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