Fix Ollama Installation Error

Gemma/[Gemma_1]Using_with_Ollama.ipynb

@@ -106,6 +106,7 @@
         }
       ],
       "source": [
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.com/install.sh | sh"
       ]
     },

Gemma/[Gemma_2]Using_with_Elasticsearch_and_LangChain.ipynb

@@ -336,6 +336,7 @@
         }
       ],
       "source": [
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.com/install.sh | sh"
       ]
     },

Gemma/[Gemma_2]Using_with_Firebase_Genkit_and_Ollama.ipynb

@@ -311,6 +311,7 @@
         "!pip install -q gradio\n",
         "\n",
         "# Install Ollama\n",
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.ai/install.sh | sh\n",
         "\n",
         "# Install Node.js\n",

Gemma/[Gemma_2]Using_with_Ollama_Python.ipynb

@@ -41,7 +41,7 @@
         "\n",
         "Author: Sitam Meur\n",
         "\n",
-        "*   GitHub: [github.com/sitamgithub-MSIT](https://github.com/sitamgithub-MSIT/)\n",
+        "*   GitHub: [github.com/sitammeur](https://github.com/sitammeur/)\n",
         "*   X: [@sitammeur](https://x.com/sitammeur)\n",
         "\n",
         "Description: This notebook demonstrates how you can run inference on a Gemma model using  [Ollama Python library](https://github.com/ollama/ollama-python). The Ollama Python library provides the easiest way to integrate Python 3.8+ projects with Ollama.\n",
@@ -95,6 +95,7 @@
       },
       "outputs": [],
       "source": [
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.com/install.sh | sh"
       ]
     },

Gemma/[Gemma_3]Local_Agentic_RAG.ipynb

@@ -44,6 +44,15 @@
         "- GitHub: [lucifertrj](https://github.com/lucifertrj/)\n",
         "- Twitter: [TRJ_0751](https://x.com/trj_0751)\n",
         "\n",
+        "<table align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_3]Local_Agentic_RAG.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+        "  </td>\n",
+        "</table>\n",
+        "\n",
+        "<br>\n",
+        "<br>\n",
+        "\n",
         "## Overview\n",
         "\n",
         "We will explore how to build a 100% local agentic RAG system using open-source stack. This system allows you to create a knowledge base from web data and answer user queries without relying on external APIs, ensuring data privacy and flexibility.\n",
@@ -90,6 +99,7 @@
         }
       ],
       "source": [
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.com/install.sh | sh"
       ]
     },

Gemma/[Gemma_3]Using_with_Ollama_Python_Inference_with_Images.ipynb

@@ -96,6 +96,7 @@
       "outputs": [],
       "source": [
         "!sudo apt-get install pciutils\n",
+        "!sudo apt-get update && sudo apt-get install -y zstd\n",
         "!curl -fsSL https://ollama.com/install.sh | sh"
       ]
     },