How to use microsoft/conditional-detr-resnet-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/conditional-detr-resnet-50")
# Load model directly from transformers import AutoImageProcessor, ConditionalDETRForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/conditional-detr-resnet-50") model = ConditionalDETRForObjectDetection.from_pretrained("microsoft/conditional-detr-resnet-50")
I noticed three different training epochs mentioned in the paper—50, 75, and 108. Could you clarify the exact number of epochs used to train the microsoft/conditional-detr-resnet-50 model?
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