Update README.md

README.md

@@ -8,7 +8,12 @@ tags:
 - YOLO-NAS-Pose
 - Jetson Orin
 ---
-We offer a TensorRT model in various precisions including int8, fp16, fp32, and mixed, converted from Deci-AI's [YOLO-NAS-Pose](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS-POSE.md) pre-trained weights in PyTorch. This model is compatible with Jetson Orin Nano hardware.
+
+We offer a TensorRT model in various precisions including int8, fp16, fp32, and mixed, converted from Deci-AI's [YOLO-NAS-Pose](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS-POSE.md) pre-trained weights in PyTorch. 
+This model is compatible with Jetson Orin Nano hardware. 
+
+Note that all quantization that has been introduced in the conversion is purely static, meaning that the corresponding model has potentillay bad accuracy compared to the original one.
+
 
 # Large