pytorch-push-to-hub.ipynb

pytorch-push-to-hub.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "pytorch-push-to-hub.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOMOFThFPzk/yZ/Fi7DroBq",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/nateraw/7a87ba17114e29727fbeb557551c1b98/pytorch-push-to-hub.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ph38Q7rXFre"
      },
      "source": [
        "%%capture\n",
        "! pip install huggingface_hub\n",
        "\n",
        "# Install git-lfs, as it's required to push to hub\n",
        "! apt install git-lfs\n",
        "\n",
        "# 🚨 - Replace with your git info!\n",
        "# ...or you can remove and manually pass git_email and git_username to push_to_hub\n",
        "! git config --global user.name \"nateraw\"\n",
        "! git config --global user.email \"[email protected]\"\n",
        "\n",
        "# Enable credential helper used by huggingface-cli\n",
        "! git config --global credential.helper store"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SJm1jsgjXJjX"
      },
      "source": [
        "# Log in with your Hugging Face account\n",
        "! huggingface-cli login"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F7FBv8U2XFB5"
      },
      "source": [
        "from huggingface_hub import PyTorchModelHubMixin\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "\n",
        "class Model(nn.Module, PyTorchModelHubMixin):\n",
        "    def __init__(self):\n",
        "        super(Model, self).__init__()\n",
        "        self.conv1 = nn.Conv2d(1, 20, 5)\n",
        "        self.conv2 = nn.Conv2d(20, 20, 5)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = F.relu(self.conv1(x))\n",
        "        return F.relu(self.conv2(x))\n",
        "\n",
        "model = Model()\n",
        "model.push_to_hub(\"cnn-dummy\")"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}