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README.md

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 # Conditional DETR model with ResNet-101 backbone (dilated C5 stage)
 
-_The model weights were converted from the original weights that can be downloaded from the [original repository](https://github.com/Atten4Vis/ConditionalDETR)_
+_Note: The model weights were converted to the `transformers` implementation from the original weights and published as both PyTorch and Safetensors weights. The original weights can can be downloaded from the [original repository](https://github.com/Atten4Vis/ConditionalDETR)_
 
 Conditional DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Conditional DETR for Fast Training Convergence](https://arxiv.org/abs/2108.06152) by Meng et al. and first released in [this repository](https://github.com/Atten4Vis/ConditionalDETR).