Included links to all Google Colabs in the README and week 3 folder

README.md

@@ -68,6 +68,15 @@ HF_TOKEN=xxxx
 
 This file is listed in the `.gitignore` file, so it won't get checked in and your keys stay safe.
 
+### Starting in Week 3, we'll also be using Google Colab for running with GPUs
+
+The colab links are in the Week folders and also here:  
+- For week 3 day 1, this Google Colab shows what colab can do [colab](https://colab.research.google.com/drive/1DjcrYDZldAXKJ08x1uYIVCtItoLPk1Wr?usp=sharing)
+- For week 3 day 2, here is a colab for the HuggingFace [pipelines API](https://colab.research.google.com/drive/1aMaEw8A56xs0bRM4lu8z7ou18jqyybGm?usp=sharing)
+- For week 3 day 3, here's the colab on [Tokenizers](https://colab.research.google.com/drive/1WD6Y2N7ctQi1X9wa6rpkg8UfyA4iSVuz?usp=sharing)
+- For week 3 day 4, we go to a colab with HuggingFace [models](https://colab.research.google.com/drive/1hhR9Z-yiqjUe7pJjVQw4c74z_V3VchLy?usp=sharing)
+- For week 3 day 5, we return to colab to make our [Meeting Minutes product](https://colab.research.google.com/drive/1KSMxOCprsl1QRpt_Rq0UqCAyMtPqDQYx?usp=sharing)
+
 ## And that's it! Happy coding!
 
 ### Alternative Setup Instructions if you're a die-hard virtualenv-er

week3/day1.ipynb

@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "61f56afc-bc15-46a4-8eb1-d940c332cf52",
+   "metadata": {},
+   "source": [
+    "# Introducing Colab\n",
+    "\n",
+    "To see some of what Colab can do, please follow the link below!\n",
+    "\n",
+    "https://colab.research.google.com/drive/1DjcrYDZldAXKJ08x1uYIVCtItoLPk1Wr?usp=sharing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9289ba7-200c-43a9-b67a-c5ce826c9537",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week3/day2.ipynb

@@ -0,0 +1,49 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1f2ed49d-7873-4a03-bdc8-bda1c23cb979",
+   "metadata": {},
+   "source": [
+    "# HuggingFace pipelines\n",
+    "\n",
+    "For this session we head to Google Colab and use this Notebook to explore the HuggingFace High Level API, pipelines.\n",
+    "\n",
+    "https://colab.research.google.com/drive/1aMaEw8A56xs0bRM4lu8z7ou18jqyybGm?usp=sharing\n",
+    "\n",
+    "You can use a low cost (or free) T4 GPU runtime for this notebook - and the results look great!\n",
+    "\n",
+    "There are instructions in the notebook for setting up your HuggingFace Token and including it as a secret in the notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5d84b78-0a02-4a35-8f10-e3f7451d352f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week3/day3.ipynb

@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "61f56afc-bc15-46a4-8eb1-d940c332cf52",
+   "metadata": {},
+   "source": [
+    "# Tokenizers\n",
+    "\n",
+    "Please can I bring you back to the wonderful Google Colab where we'll look at different Tokenizers:\n",
+    "\n",
+    "https://colab.research.google.com/drive/1WD6Y2N7ctQi1X9wa6rpkg8UfyA4iSVuz?usp=sharing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9289ba7-200c-43a9-b67a-c5ce826c9537",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week3/day4.ipynb

@@ -0,0 +1,47 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "61f56afc-bc15-46a4-8eb1-d940c332cf52",
+   "metadata": {},
+   "source": [
+    "# Models\n",
+    "\n",
+    "And now - this colab unveils the heart (or the brains?) of the transformers library - the models:\n",
+    "\n",
+    "https://colab.research.google.com/drive/1WD6Y2N7ctQi1X9wa6rpkg8UfyA4iSVuz?usp=sharing\n",
+    "\n",
+    "This should run nicely on a low-cost or free T4 box."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9289ba7-200c-43a9-b67a-c5ce826c9537",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week3/day5.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "61f56afc-bc15-46a4-8eb1-d940c332cf52",
+   "metadata": {},
+   "source": [
+    "# Meeting minutes creator\n",
+    "\n",
+    "In this colab, we make a meeting minutes program.\n",
+    "\n",
+    "It includes useful code to connect your Google Drive to your colab.\n",
+    "\n",
+    "Upload your own audio to make this work!!\n",
+    "\n",
+    "https://colab.research.google.com/drive/1KSMxOCprsl1QRpt_Rq0UqCAyMtPqDQYx?usp=sharing\n",
+    "\n",
+    "This should run nicely on a low-cost or free T4 box."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9289ba7-200c-43a9-b67a-c5ce826c9537",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week4/day4.ipynb

@@ -7,7 +7,11 @@
    "source": [
     "# Code Generator\n",
     "\n",
-    "The requirement: use a Frontier model to generate high performance C++ code from Python code"
+    "The requirement: use an Open Source model to generate high performance C++ code from Python code\n",
+    "\n",
+    "To replicate this, you'll need to set up a HuggingFace endpoint as I do in the video. It's simple to do, and it's quite satisfying to see the results!\n",
+    "\n",
+    "It's also an important part of your learning; this is the first example of deploying an open source model to be behind an API. We'll return to this in Week 8, but this should plant a seed in your mind for what's involved in productionizing models."
    ]
   },
   {