Fixing typo in trcomp notebook

sagemaker-training-compiler/tensorflow/single_gpu_single_node/vision-transformer.ipynb

@@ -45,7 +45,7 @@
     "\n",
     "In this demo, you'll use Amazon SageMaker Training Compiler to train the `Vision Transformer` model on the `Caltech-256` dataset. To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on. \n",
     "\n",
-    "**NOTE:** You can run this demo in SageMaker Studio, SageMaker notebook instances, or your local machine with AWS CLI set up. If using SageMaker Studio or SageMaker notebook instances, make sure you choose one of the TensorFlow-based kernels, `Python 3 (TensorFlow x.y Python 3.x CPU Optimized)` or `conda_tesorflow_p39` respectively.\n",
+    "**NOTE:** You can run this demo in SageMaker Studio, SageMaker notebook instances, or your local machine with AWS CLI set up. If using SageMaker Studio or SageMaker notebook instances, make sure you choose one of the TensorFlow-based kernels, `Python 3 (TensorFlow x.y Python 3.x CPU Optimized)` or `conda_tensorflow_p39` respectively.\n",
     "\n",
     "**NOTE:** This notebook uses a `ml.p3.2xlarge` instance with a single GPU. However, it can easily be extended to multiple GPUs on a single node. If you don't have enough quota, see [Request a service quota increase for SageMaker resources](https://docs.aws.amazon.com/sagemaker/latest/dg/regions-quotas.html#service-limit-increase-request-procedure). "
    ]
@@ -341,7 +341,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f9217c89",
+   "id": "c7b7c215",
    "metadata": {},
    "outputs": [],
    "source": [