remove empty cells (#559)

wandb · Jul 26, 2024 · f8e01b7 · f8e01b7
1 parent 389bea7
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diff --git a/colabs/datasets-predictions/Logging_Timbre_Transfer_with_W&B.ipynb b/colabs/datasets-predictions/Logging_Timbre_Transfer_with_W&B.ipynb
@@ -630,7 +630,6 @@
     "# Source colab: Timbre transfer demo from Magenta\n",
     "\n",
     "This colab relies substantially on the following Timbre Transfer demo:\n",
-    "<a href=\"https://colab.research.google.com/github/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
     "\n",
     "##### Copyright 2021 Google LLC.\n",
     "\n",

diff --git a/colabs/gemini/How_to_use_Gemini_Pro_API_with_WB_Weave.ipynb b/colabs/gemini/How_to_use_Gemini_Pro_API_with_WB_Weave.ipynb
@@ -398,38 +398,6 @@
    "source": [
     "await evaluation.evaluate(model)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ba244582",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c39dc979",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8d2f8124",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f3012c72",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

diff --git a/colabs/gemini/google-demo-rag.ipynb b/colabs/gemini/google-demo-rag.ipynb
@@ -320,14 +320,6 @@
     "# Not using Google Embeddings\n",
     "model.predict(questions[1], contexts, False)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9b5f7c60-41dc-4fe2-b3fd-727ace6843be",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

diff --git a/colabs/intro/3_in_1_Intro_to_Weights_&_Biases_CV,_NLP_and_RL.ipynb b/colabs/intro/3_in_1_Intro_to_Weights_&_Biases_CV,_NLP_and_RL.ipynb
@@ -8,14 +8,6 @@
     "<!--- @wandbcode{intro-colab-3-in-1} -->"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<a href=\"https://colab.research.google.com/github/wandb/examples/blob/master/colabs/intro/3_in_1_Intro_to_Weights_&_Biases_CV,_NLP_and_RL.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
-    "<!--- @wandbcode{intro-colab-3-in-1} -->"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

diff --git a/colabs/intro/Intro_to_Weights_&_Biases_keras.ipynb b/colabs/intro/Intro_to_Weights_&_Biases_keras.ipynb
@@ -8,14 +8,6 @@
     "<!--- @wandbcode{intro-colab-keras} -->"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<a href=\"https://colab.research.google.com/github/wandb/examples/blob/master/colabs/intro/Intro_to_Weights_&_Biases_keras.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
-    "<!--- @wandbcode{intro-colab-keras} -->"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

diff --git a/colabs/keras/keras_core/monai_medmnist_keras.ipynb b/colabs/keras/keras_core/monai_medmnist_keras.ipynb
@@ -404,13 +404,6 @@
     "\n",
     "wandb.finish()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

diff --git a/colabs/keras/keras_core/torchvision-keras.ipynb b/colabs/keras/keras_core/torchvision-keras.ipynb
@@ -434,13 +434,6 @@
    "source": [
     "wandb.finish()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

diff --git a/colabs/torchtune/torchtune_and_wandb.ipynb b/colabs/torchtune/torchtune_and_wandb.ipynb
@@ -119,13 +119,6 @@
     "```"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},