How to use Guna-M/concrete-crack-res with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Guna-M/concrete-crack-res") 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("Guna-M/concrete-crack-res") model = AutoModelForImageClassification.from_pretrained("Guna-M/concrete-crack-res")
loss: 0.5584052205085754
f1: 0.950354609929078
precision: 0.9436619718309859
recall: 0.9571428571428572
auc: 0.9912755102040817
accuracy: 0.95
Files info
Base model
