[notebooks] Update installation instructions for colab

notebooks/Oumi - Deploying a Job.ipynb

@@ -51,11 +51,19 @@
    "metadata": {},
    "source": [
     "### Oumi Installation\n",
-    "First, let's install Oumi. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
     "\n",
-    "```bash\n",
-    "pip install -e \".[dev]\"\n",
-    "```\n"
+    "If you have a GPU, you can run the following commands to install Oumi:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Distill a Large Model.ipynb

@@ -55,13 +55,20 @@
     "We recommend 8xA100-80GB GPUs to complete in a timely manner with adequate performance.\n",
     "\n",
     "## Oumi Installation\n",
-    "First, let's install Oumi. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
     "\n",
-    "```bash\n",
-    "pip install -e \".[gpu]\"  # if you have an nvidia or AMD GPU\n",
-    "# OR\n",
-    "pip install -e \".\"  # if you don't have a GPU\n",
-    "```"
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
+    "\n",
+    "If you have a GPU, you can run the following commands to install Oumi:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Finetuning Tutorial.ipynb

@@ -48,13 +48,20 @@
    "source": [
     "# Prerequisites\n",
     "## Oumi Installation\n",
-    "First, let's install Oumi. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
     "\n",
-    "```bash\n",
-    "pip install -e \".[gpu]\"  # if you have an nvidia or AMD GPU\n",
-    "# OR\n",
-    "pip install -e \".\"  # if you don't have a GPU\n",
-    "```"
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
+    "\n",
+    "If you have a GPU, you can run the following commands to install Oumi:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] vllm --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Launching Jobs on Custom Clusters.ipynb

@@ -45,19 +45,22 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Prerequisites\n"
+    "# Prerequisites\n",
+    "## Oumi Installation\n",
+    "\n",
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
+    "\n",
+    "If you have a GPU, you can run the following commands to install Oumi:"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## Oumi Installation\n",
-    "First, let's install Oumi. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
-    "\n",
-    "```bash\n",
-    "pip install -e \".[dev]\"\n",
-    "```"
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Training CNN on Custom Dataset.ipynb

@@ -45,15 +45,22 @@
     "id": "fHDr11SqSgtP"
    },
    "source": [
-    "# Prerequisites\n",
+    "# 📋 Prerequisites\n",
     "## Oumi Installation\n",
-    "First, let's install Oumi. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
     "\n",
-    "```bash\n",
-    "pip install -e \".[gpu]\"  # if you have an nvidia or AMD GPU\n",
-    "# OR\n",
-    "pip install -e \".\"  # if you don't have a GPU\n",
-    "```"
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
+    "\n",
+    "If you have a GPU, you can run the following commands to install Oumi:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Using vLLM Engine for Inference.ipynb

@@ -48,16 +48,25 @@
     "make gcpcode ARGS=\"--resources.accelerators A100:4\"  # 4 A100-40GB GPUs, enough for 70B model. Can also use 2x \"A100-80GB\"\n",
     "```\n",
     "\n",
-    "## Oumi Installation\n",
-    "First, let's install Oumi and other dependencies needed for this notebook. You can find detailed instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but it should be as simple as:\n",
+    "## Llama Access\n",
     "\n",
-    "```bash\n",
-    "pip install oumi vllm # Install Oumi, vLLM, and Ray\n",
-    "```\n",
+    "Llama 3.3 70B is a gated model on HuggingFace Hub. To run this notebook, you must first complete the [agreement](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) on HuggingFace, and wait for it to be accepted. Then, specify `HF_TOKEN` below to enable access to the model.\n",
     "\n",
-    "## Llama Access\n",
+    "## Oumi Installation\n",
     "\n",
-    "Llama 3.3 70B is a gated model on HuggingFace Hub. To run this notebook, you must first complete the [agreement](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) on HuggingFace, and wait for it to be accepted. Then, specify `HF_TOKEN` below to enable access to the model."
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
+    "\n",
+    "If you have a GPU, you can run the following commands to install Oumi:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] vllm --no-progress --system"
    ]
   },
   {

notebooks/Oumi - Vision Language Models.ipynb

@@ -61,15 +61,22 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Prerequisites\n",
+    "# 📋 Prerequisites\n",
     "## Oumi Installation\n",
-    "First, let's install Oumi and some additional packages. For this notebook you will need access to at least one NVIDIA or AMD GPU **with ~30GBs of memory**.\n",
     "\n",
-    "You can find detailed installation instructions [here](https://github.com/oumi-ai/oumi/blob/main/README.md), but for Oumi it should be as simple as:\n",
+    "First, let's install Oumi. You can find more detailed instructions [here](https://oumi.ai/docs/en/latest/get_started/installation.html). \n",
     "\n",
-    "```bash\n",
-    "pip install -e \".[gpu]\"\n",
-    "```"
+    "If you have a GPU, you can run the following commands to install Oumi:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install uv -q\n",
+    "!uv pip install oumi[gpu] --no-progress --system"
    ]
   },
   {
@@ -79,7 +86,7 @@
    "outputs": [],
    "source": [
     "# Additionally, install the following packages for widget visualization.\n",
-    "!pip install ipywidgets\n",
+    "%pip install ipywidgets\n",
     "\n",
     "# And deactivate the parallelism warning from the tokenizers library.\n",
     "import os\n",