diff --git a/examples/tutorials/asr_inference_with_ctc_decoder_tutorial.py b/examples/tutorials/asr_inference_with_ctc_decoder_tutorial.py
index 57b93e35d9..aa79e9d740 100644
--- a/examples/tutorials/asr_inference_with_ctc_decoder_tutorial.py
+++ b/examples/tutorials/asr_inference_with_ctc_decoder_tutorial.py
@@ -72,6 +72,26 @@
 import torch
 import torchaudio
 
+try:
+    import torchaudio.prototype.ctc_decoder
+except ModuleNotFoundError:
+    try:
+        import google.colab
+
+        print(
+            """
+            To enable running this notebook in Google Colab, install nightly
+            torch and torchaudio builds by adding the following code block to the top
+            of the notebook before running it:
+
+            !pip3 uninstall -y torch torchvision torchaudio
+            !pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+            """
+        )
+    except ModuleNotFoundError:
+        pass
+    raise
+
 
 ######################################################################
 # Acoustic Model and Data
diff --git a/examples/tutorials/device_asr.py b/examples/tutorials/device_asr.py
index 46804a5d97..6aeaf7a8a3 100644
--- a/examples/tutorials/device_asr.py
+++ b/examples/tutorials/device_asr.py
@@ -10,7 +10,7 @@
 
 .. note::
 
-   This tutorial requires prototype Streaming API and ffmpeg>=4.1.
+   This tutorial requires prototype Streaming API, ffmpeg>=4.1, and SentencePiece.
 
    Prototype features are not part of binary releases, but available in
    nightly build. Please refer to https://pytorch.org for installing
@@ -20,6 +20,8 @@
    ``conda install -c anaconda ffmpeg`` will install
    the required libraries.
 
+   You can install SentencePiece by running ``pip install sentencepiece``.
+
 .. note::
 
    This tutorial was tested on MacBook Pro and Dynabook with Windows 10.
diff --git a/examples/tutorials/online_asr_tutorial.py b/examples/tutorials/online_asr_tutorial.py
index 71e0e75aa5..0c1d279346 100644
--- a/examples/tutorials/online_asr_tutorial.py
+++ b/examples/tutorials/online_asr_tutorial.py
@@ -13,8 +13,8 @@
 #
 # .. note::
 #
-#    This tutorial requires torchaudio with prototype features and
-#    FFmpeg libraries (>=4.1).
+#    This tutorial requires torchaudio with prototype features,
+#    FFmpeg libraries (>=4.1), and SentencePiece.
 #
 #    torchaudio prototype features are available on nightly builds.
 #    Please refer to https://pytorch.org/get-started/locally/
@@ -30,13 +30,7 @@
 #    ``conda install -c anaconda ffmpeg`` will install
 #    the required libraries.
 #
-#    When running this tutorial in Google Colab, the following
-#    command should do.
-#
-#    .. code::
-#
-#       !add-apt-repository -y ppa:savoury1/ffmpeg4
-#       !apt-get -qq install -y ffmpeg
+#    You can install SentencePiece by running ``pip install sentencepiece``.
 
 ######################################################################
 # 1. Overview
@@ -59,10 +53,32 @@
 import torch
 import torchaudio
 
+try:
+    from torchaudio.prototype.io import Streamer
+except ModuleNotFoundError:
+    try:
+        import google.colab
+
+        print(
+            """
+            To enable running this notebook in Google Colab, install nightly
+            torch and torchaudio builds and the requisite third party libraries by
+            adding the following code block to the top of the notebook before running it:
+
+            !pip3 uninstall -y torch torchvision torchaudio
+            !pip3 install --pre torch torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+            !pip3 install sentencepiece
+            !add-apt-repository -y ppa:savoury1/ffmpeg4
+            !apt-get -qq install -y ffmpeg
+            """
+        )
+    except ModuleNotFoundError:
+        pass
+    raise
+
 print(torch.__version__)
 print(torchaudio.__version__)
 
-from torchaudio.prototype.io import Streamer
 
 ######################################################################
 # 3. Construct the pipeline
diff --git a/examples/tutorials/streaming_api_tutorial.py b/examples/tutorials/streaming_api_tutorial.py
index 106366afe7..ec5a85ac3d 100644
--- a/examples/tutorials/streaming_api_tutorial.py
+++ b/examples/tutorials/streaming_api_tutorial.py
@@ -29,13 +29,6 @@
 #    ``conda install -c anaconda ffmpeg`` will install
 #    the required libraries.
 #
-#    When running this tutorial in Google Colab, the following
-#    command should do.
-#
-#    .. code::
-#
-#       !add-apt-repository -y ppa:savoury1/ffmpeg4
-#       !apt-get -qq install -y ffmpeg
 
 ######################################################################
 # 1. Overview
@@ -77,7 +70,28 @@
 import matplotlib.pyplot as plt
 import torch
 import torchaudio
-from torchaudio.prototype.io import Streamer
+
+try:
+    from torchaudio.prototype.io import Streamer
+except ModuleNotFoundError:
+    try:
+        import google.colab
+
+        print(
+            """
+            To enable running this notebook in Google Colab, install nightly
+            torch and torchaudio builds and the requisite third party libraries by
+            adding the following code block to the top of the notebook before running it:
+
+            !pip3 uninstall -y torch torchvision torchaudio
+            !pip3 install --pre torch torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+            !add-apt-repository -y ppa:savoury1/ffmpeg4
+            !apt-get -qq install -y ffmpeg
+            """
+        )
+    except ModuleNotFoundError:
+        pass
+    raise
 
 print(torch.__version__)
 print(torchaudio.__version__)