tokenizers.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/tokenizers.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_zhyI6avKdFx"
      },
      "source": [
        "# Tokenizers (PyTorch)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MBWcI-9PKdFy"
      },
      "source": [
        "Install the Transformers, Datasets, and Evaluate libraries to run this notebook."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "qjT40f8YKdFy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6a53ea16-b37d-40b9-8896-f94b473b925f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting datasets\n",
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            "\u001b[?25hCollecting sentencepiece!=0.1.92,>=0.1.91 (from transformers[sentencepiece])\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n",
            "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-0.17.2 multiprocess-0.70.15 responses-0.18.0 safetensors-0.3.3 sentencepiece-0.1.99 tokenizers-0.13.3 transformers-4.33.2 xxhash-3.3.0\n"
          ]
        }
      ],
      "source": [
        "!pip install datasets evaluate transformers[sentencepiece]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "P2LuCuNsKdFy",
        "outputId": "54174eb2-1ff0-4b07-9ede-249f78d53391",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['This', 'is', 'an', 'NLP', 'course', 'from', 'HuggingFace']\n"
          ]
        }
      ],
      "source": [
        "tokenized_text = \"This is an NLP course from HuggingFace\".split()\n",
        "print(tokenized_text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "jA7nEV4CKdFz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
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            "1244105133094c8aad7d9b2c292f0f29",
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          ]
        },
        "outputId": "0a019ddd-e758-437c-b1c3-bbb494a4b7f7"
      },
      "outputs": [
        {
          "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": "880213e772984de49972557bbfc9242e"
            }
          },
          "metadata": {}
        },
        {
          "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": "409c7f3d66fb451494429c552c990ad2"
            }
          },
          "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": "c701b0508b2941bd9eb2f2d5ee3c018b"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from transformers import BertTokenizer\n",
        "\n",
        "tokenizer = BertTokenizer.from_pretrained(\"bert-base-cased\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"This is an NLP course from HuggingFace\""
      ],
      "metadata": {
        "id": "B7zVCY8khDBK"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1dRxvd4chM5l",
        "outputId": "e6a95408-4bbc-4bd0-c99d-ee0c226fb82b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input_ids': [101, 1188, 1110, 1126, 21239, 2101, 1736, 1121, 20164, 10932, 2271, 7954, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "19KbZrbGKdFz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
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          ]
        },
        "outputId": "9691c375-9cc4-4df6-e44b-3870d7518919"
      },
      "outputs": [
        {
          "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": "13163b5563fd45c9ab478d90ad8195e5"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from transformers import AutoTokenizer\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"bert-base-cased\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hak_yXBfhXhj",
        "outputId": "ced90299-153f-49fe-b566-002d41113313"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input_ids': [101, 1188, 1110, 1126, 21239, 2101, 1736, 1121, 20164, 10932, 2271, 7954, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "jUVKIlxsKdFz",
        "outputId": "60c4060a-69c0-4752-b847-d0c9174f8ea9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input_ids': [101, 7993, 170, 13809, 23763, 2443, 1110, 3014, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1]}"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "tokenizer(\"Using a Transformer network is simple\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "vj_YyOhyKdFz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d1e91752-5dad-4129-bf9e-0d21900c63a0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('my_tokenizer/tokenizer_config.json',\n",
              " 'my_tokenizer/special_tokens_map.json',\n",
              " 'my_tokenizer/vocab.txt',\n",
              " 'my_tokenizer/added_tokens.json',\n",
              " 'my_tokenizer/tokenizer.json')"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "tokenizer.save_pretrained(\"my_tokenizer\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls -lsh my_tokenizer/"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "44WEdfYThjCF",
        "outputId": "11edb9d4-cd53-43b3-c5df-0c7422a16a94"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "total 876K\n",
            "4.0K -rw-r--r-- 1 root root  125 Sep 23 13:34 special_tokens_map.json\n",
            "4.0K -rw-r--r-- 1 root root  315 Sep 23 13:34 tokenizer_config.json\n",
            "656K -rw-r--r-- 1 root root 654K Sep 23 13:34 tokenizer.json\n",
            "212K -rw-r--r-- 1 root root 209K Sep 23 13:34 vocab.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "GhB-mXHMKdFz",
        "outputId": "77794e83-7703-4ca8-d23d-9ecbd6a3f1d3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Hello', 'world', ',', 'the', 'world', 'has', 'changed', 'after', 'the', 'release', 'of', 'Cha', '##t', '##GP', '##T']\n"
          ]
        }
      ],
      "source": [
        "from transformers import AutoTokenizer\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"bert-base-cased\")\n",
        "sequence = \"Hello world, the world has changed after the release of ChatGPT\"\n",
        "tokens = tokenizer.tokenize(sequence)\n",
        "print(tokens)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "HEPjej0PKdFz",
        "outputId": "0a6b1553-202c-482a-f5c4-229b63298cac",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[8667, 1362, 117, 1103, 1362, 1144, 2014, 1170, 1103, 1836, 1104, 24705, 1204, 17095, 1942]\n"
          ]
        }
      ],
      "source": [
        "ids = tokenizer.convert_tokens_to_ids(tokens)\n",
        "print(ids)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Test yourself\n",
        "my_sequences = [\n",
        "    \"I’ve been waiting for a HuggingFace course my whole life.\",\n",
        "    \"I hate this so much!\"\n",
        "]\n",
        "tokenized_seq = tokenizer.tokenize(my_sequences)\n",
        "token_ids = tokenizer.convert_tokens_to_ids(tokenized_seq)\n",
        "tokenizer.decode(token_ids)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "WLXs0pjlQkCX",
        "outputId": "e1cb5878-fd43-477f-eaff-a35128bf44ad"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'I ’ ve been waiting for a HuggingFace course my whole life. I hate this so much!'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "Pg5-Mp14KdFz",
        "outputId": "e5d38c7c-1c11-4457-e368-97c500f2846c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using a transformer network is simple\n"
          ]
        }
      ],
      "source": [
        "decoded_string = tokenizer.decode([7993, 170, 11303, 1200, 2443, 1110, 3014])\n",
        "print(decoded_string)"
      ]
    },
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      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "8XOsDopSSLP-"
      },
      "execution_count": null,
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    }
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