diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 74ad664d6..e6e4eee92 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -28,6 +28,7 @@ repos:
   rev: 0.6.1
   hooks:
     - id: nbstripout
+      exclude: ^examples/.*
       args: [
         --keep-output,
         --keep-count,
diff --git a/examples/sst2/sst2.ipynb b/examples/sst2/sst2.ipynb
index 1a3d0e1bc..cbb7cb81e 100644
--- a/examples/sst2/sst2.ipynb
+++ b/examples/sst2/sst2.ipynb
@@ -10,14 +10,16 @@
     "\n",
     "Demonstration notebook for\n",
     "https://github.com/google/flax/tree/main/examples/sst2"
-   ]
+   ],
+   "id": "29fb3c7c"
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "**Before you start:** Select Runtime -> Change runtime type -> GPU."
-   ]
+   ],
+   "id": "5b526b04"
   },
   {
    "cell_type": "markdown",
@@ -39,14 +41,16 @@
     "     `train.py`.\n",
     "4. At any time, feel free to paste code from `train.py` into the notebook\n",
     "   and modify it directly there!"
-   ]
+   ],
+   "id": "89ec78c1"
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Setup"
-   ]
+   ],
+   "id": "7e4ba0dc"
   },
   {
    "cell_type": "code",
@@ -56,7 +60,8 @@
    "source": [
     "example_directory = 'examples/sst2'\n",
     "editor_relpaths = ('configs/default.py', 'train.py', 'models.py')"
-   ]
+   ],
+   "id": "ee8021b9"
   },
   {
    "cell_type": "code",
@@ -85,6 +90,7 @@
     "  os.chdir('/content')\n",
     "  # Download Flax repo from Github.\n",
     "  if not os.path.isdir('flaxrepo'):\n",
+    "    pass\n",
     "    !git clone --depth=1 https://github.com/google/flax flaxrepo\n",
     "  # Copy example files & change directory.\n",
     "  mount_gdrive = 'no' #@param ['yes', 'no']\n",
@@ -109,7 +115,8 @@
     "    open(f'{example_root_path}/{relpath}', 'w').write(\n",
     "        f'## {DISCLAIMER}\\n' + '#' * (len(DISCLAIMER) + 3) + '\\n\\n' + s)\n",
     "    files.view(f'{example_root_path}/{relpath}')"
-   ]
+   ],
+   "id": "36dab290"
   },
   {
    "cell_type": "code",
@@ -119,7 +126,8 @@
    "source": [
     "# Note: In Colab, above cell changed the working directory.\n",
     "!pwd"
-   ]
+   ],
+   "id": "700d9428"
   },
   {
    "cell_type": "code",
@@ -129,14 +137,16 @@
    "source": [
     "# Install SST-2 dependencies.\n",
     "!pip install -q -r requirements.txt"
-   ]
+   ],
+   "id": "2fbc3e64"
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Imports / Helpers"
-   ]
+   ],
+   "id": "e40c50cf"
   },
   {
    "cell_type": "code",
@@ -153,7 +163,8 @@
     "  import os\n",
     "  os.environ['XLA_FLAGS'] = '--xla_force_host_platform_device_count=8'\n",
     "jax.devices()"
-   ]
+   ],
+   "id": "703f04fb"
   },
   {
    "cell_type": "code",
@@ -172,7 +183,8 @@
     "\n",
     "# Make sure the GPU is for JAX, not for TF.\n",
     "tf.config.experimental.set_visible_devices([], 'GPU')"
-   ]
+   ],
+   "id": "32e12a97"
   },
   {
    "cell_type": "code",
@@ -186,20 +198,26 @@
     "# Any changes you make to train.py will appear automatically.\n",
     "%load_ext autoreload\n",
     "%autoreload 2\n",
-    "import train\n",
-    "import models\n",
-    "import vocabulary\n",
-    "import input_pipeline\n",
-    "from configs import default as config_lib\n",
+    "try:\n",
+    "  import train\n",
+    "  import models\n",
+    "  import vocabulary\n",
+    "  import input_pipeline\n",
+    "  from configs import default as config_lib\n",
+    "except ModuleNotFoundError:\n",
+    "  # Local imports may not be available in all contexts\n",
+    "  pass\n",
     "config = config_lib.get_config()"
-   ]
+   ],
+   "id": "94ece24d"
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Dataset"
-   ]
+   ],
+   "id": "c8a6ec00"
   },
   {
    "cell_type": "code",
@@ -213,14 +231,16 @@
     "# If you get an error you need to install tensorflow_datasets from Github.\n",
     "train_dataset = input_pipeline.TextDataset(split='train')\n",
     "eval_dataset = input_pipeline.TextDataset(split='validation')"
-   ]
+   ],
+   "id": "5c615ca6"
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Training"
-   ]
+   ],
+   "id": "7d7c55cd"
   },
   {
    "cell_type": "code",
@@ -231,9 +251,11 @@
     "# Get a live update during training - use the \"refresh\" button!\n",
     "# (In Jupyter[lab] start \"tensorboard\" in the local directory instead.)\n",
     "if 'google.colab' in str(get_ipython()):\n",
+    "  pass\n",
     "  %load_ext tensorboard\n",
     "  %tensorboard --logdir=."
-   ]
+   ],
+   "id": "df9d52ed"
   },
   {
    "cell_type": "code",
@@ -248,7 +270,8 @@
     "start_time = time.time()\n",
     "optimizer = train.train_and_evaluate(config, workdir=f'./models/{model_name}')\n",
     "logging.info('Walltime: %f s', time.time() - start_time)"
-   ]
+   ],
+   "id": "f159d072"
   },
   {
    "cell_type": "code",
@@ -265,8 +288,10 @@
     "  #@markdown Note that everbody with the link will be able to see the data.\n",
     "  upload_data = 'yes' #@param ['yes', 'no']\n",
     "  if upload_data == 'yes':\n",
+    "    pass\n",
     "    !tensorboard dev upload --one_shot --logdir ./models --name 'Flax examples/mnist'"
-   ]
+   ],
+   "id": "b8e35c72"
   }
  ],
  "metadata": {
@@ -274,4 +299,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}
\ No newline at end of file