sharing_pretrained_model.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/loganathanspr/nlp_course/blob/main/sharing_pretrained_model.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4acdD7eRMWDI"
      },
      "source": [
        "# Sharing pretrained models (PyTorch)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MledtNaUMWDK"
      },
      "source": [
        "Install the Transformers, Datasets, and Evaluate libraries to run this notebook."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "9gZRFJc6MWDL",
        "outputId": "a70d1c3f-c949-47f2-cfb7-25a2f0f8c5ec",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting datasets\n",
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            "Installing collected packages: tokenizers, sentencepiece, safetensors, xxhash, dill, responses, multiprocess, huggingface-hub, transformers, datasets, evaluate\n",
            "Successfully installed datasets-2.14.5 dill-0.3.7 evaluate-0.4.0 huggingface-hub-0.17.3 multiprocess-0.70.15 responses-0.18.0 safetensors-0.3.3 sentencepiece-0.1.99 tokenizers-0.13.3 transformers-4.33.3 xxhash-3.3.0\n",
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "git-lfs is already the newest version (3.0.2-1ubuntu0.2).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 18 not upgraded.\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Installing collected packages: accelerate\n",
            "Successfully installed accelerate-0.23.0\n"
          ]
        }
      ],
      "source": [
        "!pip install datasets evaluate transformers[sentencepiece]\n",
        "!apt install git-lfs\n",
        "!pip install --upgrade accelerate"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XAMUgWMzMWDL"
      },
      "source": [
        "You will need to setup git, adapt your email and name in the following cell."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "NpfNvwelMWDL"
      },
      "outputs": [],
      "source": [
        "!git config --global user.email \"loganathanspr@gmail.com\"\n",
        "!git config --global user.name \"Loganathan Ramasamy\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZEdbHOWWMWDM"
      },
      "source": [
        "You will also need to be logged in to the Hugging Face Hub. Execute the following and enter your credentials."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "WfU6WtUvMWDM",
        "outputId": "bf95bbbd-9161-4e41-fea4-e14e5b601a15",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
            "03a50d37eb7f4a04b7e8a29db6aa1222",
            "d5eb8273f82e4e668932a33d328df0c4",
            "79e30157b894496eaecc1b0ade13eb9c",
            "74405432d1b8497b9e94862df63ac243",
            "07661ab5554b4d5ca419c7a036880918",
            "e626b67025e146389932075e876fe9df",
            "aaf39366e8664443b5adbfabf3f622f5",
            "2c2b9a79329147fbb11ce8192ab373f9",
            "f763ff08942a4d1a9570a48e97d6c620",
            "8cf705c18de4411baa891c75603a4be9",
            "4231be19ac8a401080686a1f0a6c6855",
            "7875a219040d4daa87346f9cec57692f",
            "186d60cb676b4cd990ef9f7f6c0badf2",
            "dfc67f7b3a85412490fab4fba5bf3125",
            "8be6c3d0a4d042348b900b55e8c9d80a",
            "4b102b4b65ea4e63820e716c015bee86",
            "a2710b0790e54c378cebeedf56506e15",
            "c4f4915edeff4d1ca742c5af7c73d73b",
            "4854d9ba969444c18e11a239949732a1",
            "af381534cf7a44b183dd4176f16fd531",
            "8be4cd5b3d354b539f0818f365edc537",
            "ebc5a0148bb142ac8e2fc5425444b22c",
            "7950e25cc18048f4804e0c63bb86932d",
            "c0c01f5535104deb8dc1d3793b9b67b5",
            "6a0c12f3c4a641bc9c10852ff21706b8",
            "5be962bd39264349a3c7528549b4f149",
            "d3c44f6a16c6402bb33fd8c7da52db8f",
            "d1eccef8d1504533918406f70ef7c747",
            "5c71b42bb260445e8016e5dd92e338f1"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "03a50d37eb7f4a04b7e8a29db6aa1222"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from huggingface_hub import notebook_login\n",
        "\n",
        "notebook_login()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YXu1a5wRMWDM"
      },
      "outputs": [],
      "source": [
        "from huggingface_hub import notebook_login\n",
        "\n",
        "notebook_login()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "ttT6ogkOMWDM"
      },
      "outputs": [],
      "source": [
        "from transformers import TrainingArguments\n",
        "\n",
        "training_args = TrainingArguments(\n",
        "    \"bert-finetuned-mrpc\", save_strategy=\"epoch\", push_to_hub=True\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "TdW4ahmMMWDM",
        "outputId": "d77173e9-3aa6-4888-95aa-d045e2e3e295",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 197,
          "referenced_widgets": [
            "e0ef6e55d14f40758e93c7f0f4727d56",
            "9385f31001604302a2398295c51204cf",
            "0520f6fa6fdb475693eb747bfe2edabc",
            "4ba5eef9426948f39bb93684611aac1c",
            "4768b2941ce541388fc5d990d50355d3",
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            "98c7927581fb46b5b91b77a8216e391d",
            "72c0b2cfcd4946638a772d44fc66165f",
            "e7f12767a9444d7e99bfe9288cef52a8",
            "248b277985454753ab50307f8bf62b80",
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            "fdee243caa05436084f8ff0cf607492c",
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            "1f70cf37c5654bee83dd6057eb2a1a79",
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            "0b019491c4d14948aef2b8a2e5a31103",
            "07e0dde3bebd448b976030b3aea708c9"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/508 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e0ef6e55d14f40758e93c7f0f4727d56"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/445M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "748dbbc100b14948abd4f24bc8c6b425"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the model checkpoint at camembert-base were not used when initializing CamembertForMaskedLM: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight']\n",
            "- This IS expected if you are initializing CamembertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing CamembertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)tencepiece.bpe.model:   0%|          | 0.00/811k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "991adecb5a484cd590ecc3ac43c7c7dd"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.40M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "98c7927581fb46b5b91b77a8216e391d"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from transformers import AutoModelForMaskedLM, AutoTokenizer\n",
        "\n",
        "checkpoint = \"camembert-base\"\n",
        "\n",
        "model = AutoModelForMaskedLM.from_pretrained(checkpoint)\n",
        "tokenizer = AutoTokenizer.from_pretrained(checkpoint)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "QEJbhkDhMWDN",
        "outputId": "c93a6f7f-84d5-4802-a5ae-dd5708185f4c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "e87b43954a394ab993198d1f2f347930",
            "bf976b2e657540e7952f09800184e6ea",
            "96d5185ee32f4868afe1b9efd538d0f1",
            "d750b89faf364c479c7eff21a9dd33d2",
            "81ad632f7cea4c998ee34946ab202845",
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            "98d4b47279654b5ab9cae3eab24f9b92",
            "a6801e0032ec44c1a336d4502e2e69c7",
            "9ffe834d62114e54ab2fd3c6edfc8310"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "pytorch_model.bin:   0%|          | 0.00/443M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e87b43954a394ab993198d1f2f347930"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CommitInfo(commit_url='https://huggingface.co/Loganathan/dummy-model/commit/80e83c3dd6e228d516aa8ad59cd6575c4de43b11', commit_message='Upload CamembertForMaskedLM', commit_description='', oid='80e83c3dd6e228d516aa8ad59cd6575c4de43b11', pr_url=None, pr_revision=None, pr_num=None)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "model.push_to_hub(\"dummy-model\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "ekD9kZTaMWDN",
        "outputId": "ed631f27-fe5a-4b72-ab58-3a201980dace",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "0e77e62984174e4493d1a95acfca106c",
            "1dc75b3c8cc844218681c868ffbabc8c",
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            "6147dc63095c4cdeb2dff70fd695c1d6",
            "84e37a3102a04f7490b190b3e90f88c8"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "sentencepiece.bpe.model:   0%|          | 0.00/811k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0e77e62984174e4493d1a95acfca106c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CommitInfo(commit_url='https://huggingface.co/Loganathan/dummy-model/commit/30d33704526c25fe68f2fe06405246e52796ebf4', commit_message='Upload tokenizer', commit_description='', oid='30d33704526c25fe68f2fe06405246e52796ebf4', pr_url=None, pr_revision=None, pr_num=None)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "tokenizer.push_to_hub(\"dummy-model\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Test"
      ],
      "metadata": {
        "id": "h604RehiRkXq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoModelForSequenceClassification\n",
        "checkpoint = \"bert-base-cased\"\n",
        "tokenizer = AutoTokenizer.from_pretrained(checkpoint)\n",
        "model = AutoModelForSequenceClassification.from_pretrained(checkpoint)"
      ],
      "metadata": {
        "id": "wcpvIpoXRmdB",
        "outputId": "b567a1cd-259d-4a25-c672-55c7d8e0b5e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212,
          "referenced_widgets": [
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            "31243c3f03e34d718483ec1de1bcd138",
            "b2126ec2d6a6497c88c7c7a1166051b3",
            "c21054dee219421aa6b9d0f03fd86b20",
            "582be4fe645b4535a49c8e222a33b99f",
            "6134687ba6184664b5527df76ef75dfc",
            "a911a4f348aa4914846dbdf07def1227",
            "36f76324a5f84204ba6f0e752be213ea",
            "2675326c34ec410d83adc3d6c6ef7fcd",
            "ee4a666ab4fc4257a16b3c898be90e26",
            "73b477fe69104b36b9f7dbe8913c66bb",
            "94ebe097ffe64ebabf0c674f6c7e1729",
            "be3af327b18b42c8b29b47df0d572a19",
            "997cbab32c054fa0950391e7056ba17f"
          ]
        }
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/29.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d1dabfcf4cf74940bfab15c691d3642d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/570 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "98f616fae8844d308dcc88101bfa8db6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/213k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ccfb5364f20d4c88a0377731b2088683"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/436k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5c3a88eafff94b5988f2199e028210a5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/436M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c21054dee219421aa6b9d0f03fd86b20"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.weight', 'classifier.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.push_to_hub(\"bert-base-cased\")\n",
        "tokenizer.push_to_hub(\"bert-base-cased\")"
      ],
      "metadata": {
        "id": "-4oNjPJSSAkS",
        "outputId": "cc614f97-ac67-48fc-8682-1c8e3f8675dd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "d15fa9ea56cb47a9a95d955dad155562",
            "c8c03cccd77a47fea781ef73b108597c",
            "da11865b34f44890b2a4c6cf7b283e15",
            "e203dddf64994519bc21b8df2658e7b4",
            "4b00e068889a47278353e39a8f5b97d7",
            "652dd7a343a842c684b8b93a3296beb2",
            "db633706ab944a6f89928f616026dd01",
            "a5050efb6f6e41ffbee540979e083b65",
            "866124d650814900a9bf38cbd3c34837",
            "daa430311fe3406eb3b1b3e5c95e6d32",
            "d667ac57c07a48cf9812ff950fd1ba36"
          ]
        }
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "pytorch_model.bin:   0%|          | 0.00/433M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d15fa9ea56cb47a9a95d955dad155562"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CommitInfo(commit_url='https://huggingface.co/loganathanspr/bert-base-cased/commit/10705969e5ba6aa0b712e083f871bf46eecafe07', commit_message='Upload tokenizer', commit_description='', oid='10705969e5ba6aa0b712e083f871bf46eecafe07', pr_url=None, pr_revision=None, pr_num=None)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_p6ym8wSMWDN"
      },
      "outputs": [],
      "source": [
        "tokenizer.push_to_hub(\"dummy-model\", organization=\"huggingface\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6kBYZAZSMWDN"
      },
      "outputs": [],
      "source": [
        "tokenizer.push_to_hub(\"dummy-model\", organization=\"huggingface\", use_auth_token=\"<TOKEN>\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!huggingface-cli login"
      ],
      "metadata": {
        "id": "kLEFBKzIZ7rf"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "nVQNXxfmMWDN"
      },
      "outputs": [],
      "source": [
        "from huggingface_hub import (\n",
        "    # User management\n",
        "    login,\n",
        "    logout,\n",
        "    whoami,\n",
        "\n",
        "    # Repository creation and management\n",
        "    create_repo,\n",
        "    delete_repo,\n",
        "    update_repo_visibility,\n",
        "\n",
        "    # And some methods to retrieve/change information about the content\n",
        "    list_models,\n",
        "    list_datasets,\n",
        "    list_metrics,\n",
        "    list_repo_files,\n",
        "    upload_file,\n",
        "    delete_file,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "TXU-YHZFMWDN",
        "outputId": "2fdf140c-53e5-469c-b761-2cb914f79b93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RepoUrl('https://huggingface.co/loganathanspr/dummy-model', endpoint='https://huggingface.co', repo_type='model', repo_id='loganathanspr/dummy-model')"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "from huggingface_hub import create_repo\n",
        "create_repo(\"dummy-model\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "czeDXH1VMWDN"
      },
      "outputs": [],
      "source": [
        "# from huggingface_hub import upload_file\n",
        "\n",
        "# upload_file(\n",
        "#     \"<path_to_file>/config.json\",\n",
        "#     path_in_repo=\"config.json\",\n",
        "#     repo_id=\"<namespace>/dummy-model\",\n",
        "# )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "H2iR-Fv0MWDN",
        "outputId": "dfb88c54-b07c-4d38-de72-ea9ece8fa20d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Cloning https://huggingface.co/loganathanspr/dummy-model into local empty directory.\n",
            "WARNING:huggingface_hub.repository:Cloning https://huggingface.co/loganathanspr/dummy-model into local empty directory.\n"
          ]
        }
      ],
      "source": [
        "from huggingface_hub import Repository\n",
        "\n",
        "repo = Repository(\"local-dummy-model\", clone_from=\"loganathanspr/dummy-model\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "metadata": {
        "id": "hpOf_YUygiAY"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-B4Oa4A-MWDN"
      },
      "outputs": [],
      "source": [
        "# repo.git_pull()\n",
        "# repo.git_add()\n",
        "# repo.git_commit()\n",
        "# repo.git_push()\n",
        "# repo.git_tag()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "VSXhvQffMWDO"
      },
      "outputs": [],
      "source": [
        "repo.git_pull()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "SLNhJGZbMWDO",
        "outputId": "409a096e-e3f6-4745-bed2-0a548d9a6e40",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('local-dummy-model/tokenizer_config.json',\n",
              " 'local-dummy-model/special_tokens_map.json',\n",
              " 'local-dummy-model/vocab.txt',\n",
              " 'local-dummy-model/added_tokens.json',\n",
              " 'local-dummy-model/tokenizer.json')"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "model.save_pretrained(\"local-dummy-model\")\n",
        "tokenizer.save_pretrained(\"local-dummy-model\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls local-dummy-model/"
      ],
      "metadata": {
        "id": "8E2vwH56hSBk"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "2t3n2ghMMWDO",
        "outputId": "6870daff-fffd-4986-c2ac-4670c48339c4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 172,
          "referenced_widgets": [
            "3a9fe1ed09084ca38420e80f1aca17b6",
            "75394dee7aa341c0b86c7ae64240be9f",
            "b7b540b3d52c4bb58d743653ac668734",
            "8dbec1c1c7564a049cee17020c50f0c6",
            "a9e64188208e4e4981390a5022fed405",
            "be199df7cb194f008b7590f3f7657f9c",
            "9a897f61be334e64bd4b4215c913eb0e",
            "f2fd42726b7f45cfa37824fe1176ab8c",
            "3431ab24b1714efd9ac8065c5e442da3",
            "3cc29aac158349f3a30293bf9068b1c5",
            "595abf9dfc184765a8e01725e9976736"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Upload file pytorch_model.bin:   0%|          | 1.00/413M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3a9fe1ed09084ca38420e80f1aca17b6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "To https://huggingface.co/loganathanspr/dummy-model\n",
            "   56a3574..6150a7c  main -> main\n",
            "\n",
            "WARNING:huggingface_hub.repository:To https://huggingface.co/loganathanspr/dummy-model\n",
            "   56a3574..6150a7c  main -> main\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'https://huggingface.co/loganathanspr/dummy-model/commit/6150a7cb0edb06643a8543e3cee1d2b33d88fe2a'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "repo.git_add()\n",
        "repo.git_commit(\"Add model and tokenizer files\")\n",
        "repo.git_push()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!echo \"helloworld\" >> \"local-dummy-model/sample.txt\""
      ],
      "metadata": {
        "id": "hgaf6yczhonO"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!ls \"local-dummy-model/sample.txt\""
      ],
      "metadata": {
        "id": "mibOmomlhxxA"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "repo.git_add()\n",
        "repo.git_commit(\"sample file\")\n",
        "repo.git_push()"
      ],
      "metadata": {
        "id": "sIl_lLh5iBaO",
        "outputId": "01f7dcd0-5524-44d2-a02c-091d34216da3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 140
        }
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "To https://huggingface.co/loganathanspr/dummy-model\n",
            "   6150a7c..12ffa8c  main -> main\n",
            "\n",
            "WARNING:huggingface_hub.repository:To https://huggingface.co/loganathanspr/dummy-model\n",
            "   6150a7c..12ffa8c  main -> main\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'https://huggingface.co/loganathanspr/dummy-model/commit/12ffa8cd532ca0e8762c05f7351705bcdfe51f1a'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "metadata": {
        "id": "aE3K4fRfiIsf"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "q6w6oOSsMWDO"
      },
      "outputs": [],
      "source": [
        "from transformers import AutoModelForMaskedLM, AutoTokenizer\n",
        "\n",
        "checkpoint = \"camembert-base\"\n",
        "\n",
        "model = AutoModelForMaskedLM.from_pretrained(checkpoint)\n",
        "tokenizer = AutoTokenizer.from_pretrained(checkpoint)\n",
        "\n",
        "# Do whatever with the model, train it, fine-tune it...\n",
        "\n",
        "model.save_pretrained(\"<path_to_dummy_folder>\")\n",
        "tokenizer.save_pretrained(\"<path_to_dummy_folder>\")"
      ]
    }
  ],
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