fix the link

Author: Toshiki-Kato

tutorials/notebooks/task_notebooks/pytorch/example_posenet_pytorch_post_training_quantization.ipynb

@@ -11,7 +11,6 @@
    "source": [
     "# PoseNet Post-Training Quantization in PyTorch using the Model Compression Toolkit(MCT)\n",
     "\n",
-    "[Run this tutorial in Google Colab](https://colab.research.google.com/github/Toshiki-Kato/mct-model-optimization/blob/tutorial_add_pytorch_posenet_tutorial/tutorials/notebooks/imx500_notebooks/pytorch/example_posenet_pytorch_post_training_quantization.ipynb)\n",
     "\n",
     "## Overview\n",
     "This quick-start guide explains how to use the **Model Compression Toolkit (MCT)** to quantize a PoseNet model. We will load a pre-trained model and quantize it using the MCT with **Post-Training Quantization (PTQ)**. Finally, we will evaluate the quantized model and export it to an ONNX file.  \n",