Instructions to use akar49/deform_detr-crack-I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akar49/deform_detr-crack-I with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="akar49/deform_detr-crack-I")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("akar49/deform_detr-crack-I") model = AutoModelForObjectDetection.from_pretrained("akar49/deform_detr-crack-I", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce38b98a13aa018fc0f3335f09e0a64b0fa4b926d04a309f84bb81c2df01f2dc
- Size of remote file:
- 165 MB
- SHA256:
- 79212136807dbaa8212e9e72766063959dd2998b2b5a1e99f38fb9374e61d774
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