Ch4_part_1_Pre_train.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Ch4 part 1 Pre-train.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPhlBHCE4TR6E5Om7CODjwy",
      "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/github/JonathanSum/Hugging-Face-Course/blob/main/Ch4_part_1_Pre_train.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mDhc61DvWc4p",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4b141d1d-2fa1-4208-b7d0-e9712c62986e"
      },
      "source": [
        "! pip install datasets transformers[sentencepiece]"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting datasets\n",
            "  Downloading datasets-1.11.0-py3-none-any.whl (264 kB)\n",
            "\u001b[K     |████████████████████████████████| 264 kB 5.7 MB/s \n",
            "\u001b[?25hCollecting transformers[sentencepiece]\n",
            "  Downloading transformers-4.9.1-py3-none-any.whl (2.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.6 MB 29.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.7/dist-packages (from datasets) (2.23.0)\n",
            "Collecting fsspec>=2021.05.0\n",
            "  Downloading fsspec-2021.7.0-py3-none-any.whl (118 kB)\n",
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            "\u001b[?25hCollecting huggingface-hub<0.1.0\n",
            "  Downloading huggingface_hub-0.0.15-py3-none-any.whl (43 kB)\n",
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            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from datasets) (1.19.5)\n",
            "Collecting xxhash\n",
            "  Downloading xxhash-2.0.2-cp37-cp37m-manylinux2010_x86_64.whl (243 kB)\n",
            "\u001b[K     |████████████████████████████████| 243 kB 57.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from datasets) (1.1.5)\n",
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            "Collecting tqdm>=4.42\n",
            "  Downloading tqdm-4.62.0-py2.py3-none-any.whl (76 kB)\n",
            "\u001b[K     |████████████████████████████████| 76 kB 4.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<0.1.0->datasets) (3.7.4.3)\n",
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            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (2021.5.30)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->datasets) (3.5.0)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2.8.1)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2018.9)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n",
            "Collecting tokenizers<0.11,>=0.10.1\n",
            "  Downloading tokenizers-0.10.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.3 MB 55.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (2019.12.20)\n",
            "Collecting huggingface-hub<0.1.0\n",
            "  Downloading huggingface_hub-0.0.12-py3-none-any.whl (37 kB)\n",
            "Collecting sacremoses\n",
            "  Downloading sacremoses-0.0.45-py3-none-any.whl (895 kB)\n",
            "\u001b[K     |████████████████████████████████| 895 kB 46.8 MB/s \n",
            "\u001b[?25hCollecting pyyaml>=5.1\n",
            "  Downloading PyYAML-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (636 kB)\n",
            "\u001b[K     |████████████████████████████████| 636 kB 57.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (3.17.3)\n",
            "Collecting sentencepiece==0.1.91\n",
            "  Downloading sentencepiece-0.1.91-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 50.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers[sentencepiece]) (7.1.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers[sentencepiece]) (1.0.1)\n",
            "Installing collected packages: tqdm, tokenizers, sacremoses, pyyaml, huggingface-hub, xxhash, transformers, sentencepiece, fsspec, datasets\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.41.1\n",
            "    Uninstalling tqdm-4.41.1:\n",
            "      Successfully uninstalled tqdm-4.41.1\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed datasets-1.11.0 fsspec-2021.7.0 huggingface-hub-0.0.12 pyyaml-5.4.1 sacremoses-0.0.45 sentencepiece-0.1.91 tokenizers-0.10.3 tqdm-4.62.0 transformers-4.9.1 xxhash-2.0.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AwQcl9nnZZXO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "92bcb093-a77b-4166-d0ef-484d1c5ea6be"
      },
      "source": [
        "from transformers import pipeline \n",
        "\n",
        "camembert_fill_mask  = pipeline(\"fill-mask\", model=\"camembert-base\")\n",
        "results = camembert_fill_mask(\"Le camembert est <mask> :)\")\n",
        "results"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'score': 0.49091005325317383,\n",
              "  'sequence': 'Le camembert est délicieux :)',\n",
              "  'token': 7200,\n",
              "  'token_str': 'délicieux'},\n",
              " {'score': 0.1055697426199913,\n",
              "  'sequence': 'Le camembert est excellent :)',\n",
              "  'token': 2183,\n",
              "  'token_str': 'excellent'},\n",
              " {'score': 0.03453313186764717,\n",
              "  'sequence': 'Le camembert est succulent :)',\n",
              "  'token': 26202,\n",
              "  'token_str': 'succulent'},\n",
              " {'score': 0.0330314114689827,\n",
              "  'sequence': 'Le camembert est meilleur :)',\n",
              "  'token': 528,\n",
              "  'token_str': 'meilleur'},\n",
              " {'score': 0.03007650189101696,\n",
              "  'sequence': 'Le camembert est parfait :)',\n",
              "  'token': 1654,\n",
              "  'token_str': 'parfait'}]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pXDsqEejZaf7"
      },
      "source": [
        "from transformers import CamembertTokenizer, CamembertForMaskedLM \n",
        "\n",
        "tokenizer = CamembertTokenizer.from_pretrained(\"camembert-base\")\n",
        "model = CamembertForMaskedLM.from_pretrained(\"camembert-base\")"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pJAAw1gPZcFw"
      },
      "source": [
        "from transformers import AutoTokenizer, AutoModelForMaskedLM \n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"camembert-base\")\n",
        "model = AutoModelForMaskedLM.from_pretrained(\"camembert-base\")"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "22lv6gG938Vt"
      },
      "source": [
        ""
      ],
      "execution_count": 5,
      "outputs": []
    }
  ]
}