Instructions to use Devarshi/Armature_Defect_Detection_All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devarshi/Armature_Defect_Detection_All with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Devarshi/Armature_Defect_Detection_All") 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("Devarshi/Armature_Defect_Detection_All") model = AutoModelForImageClassification.from_pretrained("Devarshi/Armature_Defect_Detection_All", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bea7f3d54227743cf3854063929a3c0a020d15b69b8d72af633d04d813fb1ada
- Size of remote file:
- 348 MB
- SHA256:
- c8e85d9dcba8706ec2c24a9e00ae461b9ac9e46233fe5702aa7c2f13bbad6f9b
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