diff --git a/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb b/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb
index 6224772f..1a9351c9 100644
--- a/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb
+++ b/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb
@@ -2,18 +2,16 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {
-    "id": "SQRh9TDkmexb"
-   },
+   "metadata": {},
    "source": [
-    "![image.png](data:image/png;base64,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+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Open in Colab Here](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/docs/readthedocs/source/doc/Chronos/Howto/how_to_train_forecaster_on_one_node.ipynb)"
+    "![image.png](data:image/png;base64,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)"
    ]
   },
   {
diff --git a/docs/readthedocs/source/doc/Nano/Tutorials/custom.ipynb b/docs/readthedocs/source/doc/Nano/Tutorials/custom.ipynb
index fa89cabc..dfb67858 100644
--- a/docs/readthedocs/source/doc/Nano/Tutorials/custom.ipynb
+++ b/docs/readthedocs/source/doc/Nano/Tutorials/custom.ipynb
@@ -6,7 +6,7 @@
         "id": "yzsDlbsUBsuF"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/custom.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/custom.ipynb)"
       ]
     },
     {
diff --git a/docs/readthedocs/source/doc/Nano/Tutorials/seq_and_func.ipynb b/docs/readthedocs/source/doc/Nano/Tutorials/seq_and_func.ipynb
index c4c4a3e6..816ef75c 100644
--- a/docs/readthedocs/source/doc/Nano/Tutorials/seq_and_func.ipynb
+++ b/docs/readthedocs/source/doc/Nano/Tutorials/seq_and_func.ipynb
@@ -6,7 +6,7 @@
         "id": "pDIKqAcwmexW"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/seq_and_func.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/seq_and_func.ipynb)"
       ]
     },
     {