fix lint

google-gemini · Oct 22, 2024 · 353bb01 · 353bb01
1 parent c4d281a
commit 353bb01
Showing 1 changed file with 9 additions and 15 deletions.
diff --git a/Workshops/Workshop_How_to_Fine_tuning_Gemma_Transformers_Edition.ipynb b/Workshops/Workshop_How_to_Fine_tuning_Gemma_Transformers_Edition.ipynb
@@ -1,20 +1,9 @@
 {
   "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
-      "source": [
-        "<a href=\"https://colab.research.google.com/github/kkech/gemma-cookbook/blob/main/Workshop_How_to_Fine_tuning_Gemma_Transformers_Edition.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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@@ -40,7 +29,13 @@
       "source": [
         "# Workshop: How to Fine-tuning Gemma - Transformers Edition\n",
         "\n",
-        "To illustrate fine-tuning the model for a specific task, You'll learn how to condition a Gemma model to answer in a specific language. Let's consider the example of generating a random Portuguese title based on a user's instruction such as \"Write a title\". To make this possible, you will curate a manageable dataset that can be manually processed. This approach is feasible because Gemma 2 has prior knowledge of general Portuguese language patterns, enabling it to adapt to this specific task effectively."
+        "To illustrate fine-tuning the model for a specific task, You'll learn how to condition a Gemma model to answer in a specific language. Let's consider the example of generating a random Portuguese title based on a user's instruction such as \"Write a title\". To make this possible, you will curate a manageable dataset that can be manually processed. This approach is feasible because Gemma 2 has prior knowledge of general Portuguese language patterns, enabling it to adapt to this specific task effectively.\n",
+        "\n",
+        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Workshops/Workshop_How_to_Fine_tuning_Gemma_Transformers_Edition.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+        "  </td>\n",
+        "</table>"
       ]
     },
     {
@@ -1639,8 +1634,7 @@
   "metadata": {
     "accelerator": "GPU",
     "colab": {
-      "provenance": [],
-      "include_colab_link": true
+      "provenance": []
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     "kernelspec": {
       "display_name": "Python 3",
@@ -6099,4 +6093,4 @@
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+}