Update examples.md to add clip example. (#1628)

docs/source/examples.md

@@ -16,6 +16,7 @@
 |Vision|stable diffusion <br> stable diffusion XL|[Link](https://github.com/microsoft/Olive/tree/main/examples/stable_diffusion)|`GPU`: with ONNX Runtime optimization for DirectML EP<br>`GPU`: with ONNX Runtime optimization for CUDA EP<br>`Intel CPU`: with OpenVINO toolkit
 ||squeezenet|[Link](https://github.com/microsoft/Olive/tree/main/examples/directml/squeezenet)|`GPU`: with ONNX Runtime optimizations with DirectML EP
 ||mobilenet|[Link](https://github.com/microsoft/Olive/tree/main/examples/mobilenet)|`Qualcomm NPU`: with ONNX Runtime static QDQ quantization for ONNX Runtime QNN EP
+||clip|[Link](https://github.com/microsoft/Olive/tree/main/examples/clip)|`Qualcomm NPU`: with ONNX Runtime static QDQ quantization for ONNX Runtime QNN EP
 ||resnet|[Link](https://github.com/microsoft/Olive/tree/main/examples/resnet)|`CPU`: with ONNX Runtime static/dynamic Quantization for ONNX INT8 model<br>`CPU`: with PyTorch QAT Default Training Loop and ONNX Runtime optimizations for ONNX INT8 model<br>`CPU`: with PyTorch QAT Lightning Module and ONNX Runtime optimizations for ONNX INT8 model<br>`AMD DPU`: with AMD Vitis-AI Quantization<br>`Intel GPU`: with ONNX Runtime optimizations with multiple EPs<br>`Qualcomm NPU`: with ONNX Runtime static QDQ quantization for ONNX Runtime QNN EP
 ||VGG|[Link](https://github.com/microsoft/Olive/tree/main/examples/vgg)|`Qualcomm NPU`: with SNPE toolkit
 ||inception|[Link](https://github.com/microsoft/Olive/tree/main/examples/inception)|`Qualcomm NPU`: with SNPE toolkit