clean meta

colabs/audiocraft/AudioCraft.ipynb

@@ -1,22 +1,11 @@
 {
  "cells": [
   {
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    "cell_type": "markdown",
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    "source": [
-    "<img src=\"https://wandb.me/logo-im-png\" width=\"400\" alt=\"Weights & Biases\" />\n",
-    "<!--- @wandbcode{audiocraft} -->\n",
-    "\n",
-    "# 🎸 Generating Music using [Audiocraft](https://github.com/facebookresearch/audiocraft) and W&B 🐝\n",
-    "\n",
-    "<!--- @wandbcode{musicgen-colab} -->\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/wandb/examples/blob/master/colabs/audiocraft/AudioCraft.ipynb)\n",
-    "\n",
-    "In this notebook we demonstrate how you can generate music and other types of audio from text prompts or generate new music from existing music using SoTA models such as [MusicGen](https://github.com/facebookresearch/audiocraft/blob/main/docs/MUSICGEN.md) and [AudioGen](https://github.com/facebookresearch/audiocraft/blob/main/docs/AUDIOGEN.md) from [Audiocraft](https://github.com/facebookresearch/audiocraft) and play and visualize them using [Weights & Biases](https://wandb.ai/site).\n",
-    "\n",
-    "If you want to know more about the underlying architectures for MusicGen and AudioGen and explore some cool audio samples generated by these models, you can check out [this W&B report](http://wandb.me/audiocraft_2mp)."
+    "<a href=\"https://colab.research.google.com/github/wandb/examples/blob/master/colabs/audiocraft/AudioCraft.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
+    "<!--- @wandbcode{audiocraft} -->"
    ]
   },
   {
@@ -379,8 +368,9 @@
  "metadata": {
   "accelerator": "GPU",
   "colab": {
-   "gpuType": "V100",
-   "provenance": []
+   "include_colab_link": true,
+   "provenance": [],
+   "toc_visible": true
   },
   "kernelspec": {
    "display_name": "Python 3",

colabs/boosting/Simple_LightGBM_Integration.ipynb

@@ -1,7 +1,6 @@
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colabs/boosting/Using_W&B_Sweeps_with_XGBoost.ipynb

@@ -1,7 +1,6 @@
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    "cell_type": "markdown",
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    "source": [