Instructions to use Guna-M/crack-detection-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guna-M/crack-detection-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Guna-M/crack-detection-v2") 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/crack-detection-v2") model = AutoModelForImageClassification.from_pretrained("Guna-M/crack-detection-v2") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 66
Model tree for Guna-M/crack-detection-v2
Base model
google/vit-base-patch16-224