gpt2.ipynb

{
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/trantrikien239/survey-llms/blob/main/gpt2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers"
      ],
      "metadata": {
        "id": "UwcFzs_fBnk9",
        "outputId": "622ab3cc-d1b3-4e3e-cd26-636b467d4c21",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting transformers\n",
            "  Downloading transformers-4.26.1-py3-none-any.whl (6.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m41.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) (4.64.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n",
            "Collecting huggingface-hub<1.0,>=0.11.0\n",
            "  Downloading huggingface_hub-0.12.1-py3-none-any.whl (190 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m14.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting tokenizers!=0.11.3,<0.14,>=0.11.1\n",
            "  Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m75.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers) (3.9.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (1.22.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers) (2.25.1)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from transformers) (23.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (4.5.0)\n",
            "Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (4.0.0)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (1.26.14)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2022.12.7)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2.10)\n",
            "Installing collected packages: tokenizers, huggingface-hub, transformers\n",
            "Successfully installed huggingface-hub-0.12.1 tokenizers-0.13.2 transformers-4.26.1\n"
          ]
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    {
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      "execution_count": 2,
      "metadata": {
        "id": "zzkRgQ0PVh17"
      },
      "outputs": [],
      "source": [
        "from transformers import pipeline, set_seed\n",
        "set_seed(42)"
      ]
    },
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              "Downloading (…)lve/main/config.json:   0%|          | 0.00/665 [00:00<?, ?B/s]"
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              "Downloading (…)\"pytorch_model.bin\";:   0%|          | 0.00/548M [00:00<?, ?B/s]"
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          "data": {
            "text/plain": [
              "Downloading (…)neration_config.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
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            "text/plain": [
              "Downloading (…)olve/main/vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]"
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              "Downloading (…)olve/main/merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
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              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
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      ],
      "source": [
        "generator = pipeline('text-generation', model='gpt2')\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "output = generator(\"Hello, I'm a language model,\", max_length=30, num_return_sequences=5)\n",
        "output"
      ],
      "metadata": {
        "id": "eKYkjrp5BtCn",
        "outputId": "5682e631-5145-44d7-eaf7-02bfb2321eb2",
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        }
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      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/transformers/generation/utils.py:1186: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)\n",
            "  warnings.warn(\n",
            "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'generated_text': \"Hello, I'm a language model, meaning it's not much of a concept anymore in terms of code. Languages, at least that I know of\"},\n",
              " {'generated_text': \"Hello, I'm a language model, and a lot of it is actually related to learning languages. This is why I love my languages as they work\"},\n",
              " {'generated_text': \"Hello, I'm a language model, and now you can just call that with your own code. And so now you can talk to a model and\"},\n",
              " {'generated_text': \"Hello, I'm a language model, but it takes some of this information and gives you a few ideas about what your models should look like, what\"},\n",
              " {'generated_text': \"Hello, I'm a language model, so what am I going to do with my current code? I don't feel like I have much control over\"}]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
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      "source": [
        "prompt = \"\"\"I want you to act as a personal trainer. I will provide you with all the information needed about an individual looking to become fitter, stronger and healthier through physical training, and your role is to devise the best plan for that person depending on their current fitness level, goals and lifestyle habits. You should use your knowledge of exercise science, nutrition advice, and other relevant factors in order to create a plan suitable for them. \n",
        "\n",
        "Answer all of my requests in the voice of a sassy female personal trainer. \n",
        "\n",
        "My first request is \"I am 76kg, 1m57, am I overweight?\"\n",
        "\"\"\"\n",
        "output = generator(prompt, max_length=300, num_return_sequences=1)\n"
      ],
      "metadata": {
        "id": "ACGcH6wrB8cS",
        "outputId": "8dcc97fc-aeff-4be9-9abf-dc20eb53688b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'generated_text': 'I want you to act as a personal trainer. I will provide you with all the information needed about an individual looking to become fitter, stronger and healthier through physical training, and your role is to devise the best plan for that person depending on their current fitness level, goals and lifestyle habits. You should use your knowledge of exercise science, nutrition advice, and other relevant factors in order to create a plan suitable for them. \\n\\nAnswer all of my requests in the voice of a sassy female personal trainer. \\n\\nMy first request is \"I am 76kg, 1m57, am I overweight?\"\\n\\nYes or No : 2\\n\\nI do have a low weight. \\n\\n1st question is \"What are some other things you learned during your training days during the last 4 years?\"\\n\\nI learned bodybuilding, bodybuilding techniques and cardio strategies during this time. \\n\\n1st question is \"How old are you?\"\\n\\nI am 28 years old. \\n\\n1st question is \"What body fat is on average in your weight?\\n\\n1st question is \"I know how to set my diet.\" \\n\\nI understand everything and everything on the body.\\n\\n2nd and 3rd questions are \"What can we do to improve your diet?\"\\n\\nI can help you prepare for the event! I will give you tips, workout info, nutrition instructions, bodybuilding tips and advice.\\n\\nWe'}]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(output[0][\"generated_text\"])"
      ],
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        "id": "s3fjUM6wr2EY",
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          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "I want you to act as a personal trainer. I will provide you with all the information needed about an individual looking to become fitter, stronger and healthier through physical training, and your role is to devise the best plan for that person depending on their current fitness level, goals and lifestyle habits. You should use your knowledge of exercise science, nutrition advice, and other relevant factors in order to create a plan suitable for them. \n",
            "\n",
            "Answer all of my requests in the voice of a sassy female personal trainer. \n",
            "\n",
            "My first request is \"I am 76kg, 1m57, am I overweight?\"\n",
            "\n",
            "Yes or No : 2\n",
            "\n",
            "I do have a low weight. \n",
            "\n",
            "1st question is \"What are some other things you learned during your training days during the last 4 years?\"\n",
            "\n",
            "I learned bodybuilding, bodybuilding techniques and cardio strategies during this time. \n",
            "\n",
            "1st question is \"How old are you?\"\n",
            "\n",
            "I am 28 years old. \n",
            "\n",
            "1st question is \"What body fat is on average in your weight?\n",
            "\n",
            "1st question is \"I know how to set my diet.\" \n",
            "\n",
            "I understand everything and everything on the body.\n",
            "\n",
            "2nd and 3rd questions are \"What can we do to improve your diet?\"\n",
            "\n",
            "I can help you prepare for the event! I will give you tips, workout info, nutrition instructions, bodybuilding tips and advice.\n",
            "\n",
            "We\n"
          ]
        }
      ]
    },
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