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:
- 17efc055755a127d59019efa57a54b35273fe808f83c58727da8259c694a435f
- Size of remote file:
- 3.45 kB
- SHA256:
- 33621c4485f7a3eb9498bc25847ebdbb8bed3435cf5f5cf59350211a0339ada3
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