ultralytics/examples/hub.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Ultralytics HUB",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FIzICjaph_Wy"
      },
      "source": [
        "<a align=\"center\" href=\"https://hub.ultralytics.com\" target=\"_blank\">\n",
        "<img width=\"1024\", src=\"https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png\"></a>\n",
        "\n",
        "<div align=\"center\">\n",
        "  <a href=\"https://github.com/ultralytics/hub/actions/workflows/ci.yaml\">\n",
        "    <img src=\"https://github.com/ultralytics/hub/actions/workflows/ci.yaml/badge.svg\" alt=\"CI CPU\"></a>\n",
        "  <a href=\"https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb\">\n",
        "    <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"></a>\n",
        "\n",
        "Welcome to the [Ultralytics](https://ultralytics.com/) HUB notebook!\n",
        "\n",
        "This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the HUB <a href=\"https://docs.ultralytics.com/hub/\">Docs</a> for details, raise an issue on <a href=\"https://github.com/ultralytics/hub/issues/new/choose\">GitHub</a> for support, and join our <a href=\"https://ultralytics.com/discord\">Discord</a> community for questions and discussions!\n",
        "</div>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eRQ2ow94MiOv"
      },
      "source": [
        "# Setup\n",
        "\n",
        "Pip install `ultralytics` and [dependencies](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) and check software and hardware."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FyDnXd-n4c7Y",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f8dcca2f-d6d9-4e8d-90a7-85aa357d39fb"
      },
      "source": [
        "%pip install ultralytics  # install\n",
        "from ultralytics import YOLO, checks, hub\n",
        "checks()  # checks"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Ultralytics YOLOv8.0.175 🚀 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Setup complete ✅ (2 CPUs, 12.7 GB RAM, 26.2/78.2 GB disk)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cQ9BwaAqxAm4"
      },
      "source": [
        "# Start\n",
        "\n",
        "Login with your [API key](https://hub.ultralytics.com/settings?tab=api+keys), select your YOLO 🚀 model and start training!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XSlZaJ9Iw_iZ"
      },
      "source": [
        "hub.login('API_KEY')  # use your API key\n",
        "\n",
        "model = YOLO('https://hub.ultralytics.com/MODEL_ID')  # use your model URL\n",
        "results = model.train()  # train model"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}