lyric_generation.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# HuggingFace run_clm.py"
      ],
      "metadata": {
        "id": "QZdgNlfrlhlS"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jqdo80NZLANZ",
        "outputId": "ac4af30d-6b6c-4130-aae6-b16c4ce41a9c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.64.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2021.10.8)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (6.1.1)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)\n"
          ]
        }
      ],
      "source": [
        "! pip install kaggle\n",
        "! mkdir -p ~/.kaggle\n",
        "! cp kaggle.json ~/.kaggle/\n",
        "! chmod 600 ~/.kaggle/kaggle.json"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! kaggle datasets download -d paultimothymooney/poetry"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a6xVpfhOLiji",
        "outputId": "7557d260-bc11-4da5-b2d2-e5676eb4fbbe"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading poetry.zip to /content\n",
            "\r  0% 0.00/2.00M [00:00<?, ?B/s]\n",
            "\r100% 2.00M/2.00M [00:00<00:00, 46.1MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! unzip poetry.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yTFJRACBL4E7",
        "outputId": "cc7a194e-70d2-440a-db55-dd22ceaef400"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  poetry.zip\n",
            "  inflating: Kanye_West.txt          \n",
            "  inflating: Lil_Wayne.txt           \n",
            "  inflating: adele.txt               \n",
            "  inflating: al-green.txt            \n",
            "  inflating: alicia-keys.txt         \n",
            "  inflating: amy-winehouse.txt       \n",
            "  inflating: beatles.txt             \n",
            "  inflating: bieber.txt              \n",
            "  inflating: bjork.txt               \n",
            "  inflating: blink-182.txt           \n",
            "  inflating: bob-dylan.txt           \n",
            "  inflating: bob-marley.txt          \n",
            "  inflating: britney-spears.txt      \n",
            "  inflating: bruce-springsteen.txt   \n",
            "  inflating: bruno-mars.txt          \n",
            "  inflating: cake.txt                \n",
            "  inflating: dickinson.txt           \n",
            "  inflating: disney.txt              \n",
            "  inflating: dj-khaled.txt           \n",
            "  inflating: dolly-parton.txt        \n",
            "  inflating: dr-seuss.txt            \n",
            "  inflating: drake.txt               \n",
            "  inflating: eminem.txt              \n",
            "  inflating: janisjoplin.txt         \n",
            "  inflating: jimi-hendrix.txt        \n",
            "  inflating: johnny-cash.txt         \n",
            "  inflating: joni-mitchell.txt       \n",
            "  inflating: kanye-west.txt          \n",
            "  inflating: kanye.txt               \n",
            "  inflating: lady-gaga.txt           \n",
            "  inflating: leonard-cohen.txt       \n",
            "  inflating: lil-wayne.txt           \n",
            "  inflating: lin-manuel-miranda.txt  \n",
            "  inflating: lorde.txt               \n",
            "  inflating: ludacris.txt            \n",
            "  inflating: michael-jackson.txt     \n",
            "  inflating: missy-elliott.txt       \n",
            "  inflating: nickelback.txt          \n",
            "  inflating: nicki-minaj.txt         \n",
            "  inflating: nirvana.txt             \n",
            "  inflating: notorious-big.txt       \n",
            "  inflating: notorious_big.txt       \n",
            "  inflating: nursery_rhymes.txt      \n",
            "  inflating: patti-smith.txt         \n",
            "  inflating: paul-simon.txt          \n",
            "  inflating: prince.txt              \n",
            "  inflating: r-kelly.txt             \n",
            "  inflating: radiohead.txt           \n",
            "  inflating: rihanna.txt             \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers\n",
        "!pip install git+https://github.com/huggingface/transformers\n",
        "!pip install tensorboard\n",
        "!pip install datasets"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "WNo1RxECf9uR",
        "outputId": "faa29435-f630-40b4-899d-184bb7c9040b"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.7/dist-packages (4.19.0.dev0)\n",
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            "Collecting git+https://github.com/huggingface/transformers\n",
            "  Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-q6q1r5hb\n",
            "  Running command git clone -q https://github.com/huggingface/transformers /tmp/pip-req-build-q6q1r5hb\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers==4.19.0.dev0) (2.23.0)\n",
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            "Collecting datasets\n",
            "  Downloading datasets-2.1.0-py3-none-any.whl (325 kB)\n",
            "\u001b[K     |████████████████████████████████| 325 kB 5.4 MB/s \n",
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            "Collecting aiohttp\n",
            "  Downloading aiohttp-3.8.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)\n",
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            "Collecting xxhash\n",
            "  Downloading xxhash-3.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212 kB)\n",
            "\u001b[K     |████████████████████████████████| 212 kB 54.1 MB/s \n",
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            "Collecting fsspec[http]>=2021.05.0\n",
            "  Downloading fsspec-2022.3.0-py3-none-any.whl (136 kB)\n",
            "\u001b[K     |████████████████████████████████| 136 kB 42.1 MB/s \n",
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            "Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1\n",
            "  Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB)\n",
            "\u001b[K     |████████████████████████████████| 127 kB 40.5 MB/s \n",
            "\u001b[?25hCollecting frozenlist>=1.1.1\n",
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            "Collecting multidict<7.0,>=4.5\n",
            "  Downloading multidict-6.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (94 kB)\n",
            "\u001b[K     |████████████████████████████████| 94 kB 2.3 MB/s \n",
            "\u001b[?25hCollecting aiosignal>=1.1.2\n",
            "  Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)\n",
            "Collecting yarl<2.0,>=1.0\n",
            "  Downloading yarl-1.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
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            "\u001b[?25hRequirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (21.4.0)\n",
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            "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",
            "Installing collected packages: multidict, frozenlist, yarl, urllib3, asynctest, async-timeout, aiosignal, fsspec, aiohttp, xxhash, responses, datasets\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 asynctest-0.13.0 datasets-2.1.0 frozenlist-1.3.0 fsspec-2022.3.0 multidict-6.0.2 responses-0.18.0 urllib3-1.25.11 xxhash-3.0.0 yarl-1.7.2\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "urllib3"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os, sys, re, time, datetime\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "import torch\n",
        "from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, SequentialSampler\n",
        "torch.manual_seed(42)\n",
        "\n",
        "from transformers import GPT2LMHeadModel,  GPT2Tokenizer, GPT2Config, GPT2LMHeadModel\n",
        "from transformers import AdamW, get_linear_schedule_with_warmup\n",
        "\n",
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "import datasets"
      ],
      "metadata": {
        "id": "N8PAAbk5NO85"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = []\n",
        "for filename in os.listdir():\n",
        "  if '.txt' in filename:\n",
        "    with open(filename, 'r') as f:\n",
        "      data += f.readlines()"
      ],
      "metadata": {
        "id": "OLLNcf40NUSL"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_test_ratio = 0.9\n",
        "train_valid_ratio = 0.9\n",
        "train_full, test = train_test_split(data, train_size = train_test_ratio, random_state = 1)\n",
        "train, val = train_test_split(train_full, train_size = train_valid_ratio, random_state = 1)"
      ],
      "metadata": {
        "id": "NeQL0yQ7Uacu"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(train), len(val), len(test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jhcbqm24Ua7f",
        "outputId": "a1f84f44-5fcf-43c6-dd89-8ef131440093"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(151541, 16838, 18709)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def build_dataset(lyrics, dest_path):\n",
        "  f = open(dest_path, 'w')\n",
        "  data = ''\n",
        "  phrase = ''\n",
        "  for lyric in lyrics:\n",
        "    if lyric == '\\n':\n",
        "      if phrase != '':\n",
        "        data += '<BOS> ' + phrase + ' <EOS>\\n'\n",
        "        phrase = ''\n",
        "      else: continue\n",
        "    else:\n",
        "      lyric_concat = re.sub(r\"\\n\", \". \", lyric)\n",
        "      lyric_cleaned = re.sub(r\"(\\t)+\", \" \", lyric_concat)\n",
        "      phrase += lyric_cleaned\n",
        "        \n",
        "  f.write(data)\n",
        "  f.close()\n",
        "  return data"
      ],
      "metadata": {
        "id": "KT7Wu4BrPn3i"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train = build_dataset(train, \"train.txt\")\n",
        "val = build_dataset(val, \"val.txt\")\n",
        "test = build_dataset(test, \"test.txt\")"
      ],
      "metadata": {
        "id": "aGlgv978PoNy"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! mkdir -p scripts\n",
        "! wget \"https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/language-modeling/run_clm.py\"\n",
        "! wget \"https://raw.githubusercontent.com/itsuncheng/fine-tuning-GPT2/master/run_generation.py\"\n",
        "! scp \"run_clm.py\" \"scripts/run_clm.py\"\n",
        "! scp \"run_generation.py\" \"scripts/run_generation.py\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "edKzgbwLS-23",
        "outputId": "8d92aa55-eb47-4b04-b151-d8616e1ae2d5"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-04-28 19:01:27--  https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/language-modeling/run_clm.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 24515 (24K) [text/plain]\n",
            "Saving to: ‘run_clm.py’\n",
            "\n",
            "\rrun_clm.py            0%[                    ]       0  --.-KB/s               \rrun_clm.py          100%[===================>]  23.94K  --.-KB/s    in 0.001s  \n",
            "\n",
            "2022-04-28 19:01:27 (18.6 MB/s) - ‘run_clm.py’ saved [24515/24515]\n",
            "\n",
            "--2022-04-28 19:01:27--  https://raw.githubusercontent.com/itsuncheng/fine-tuning-GPT2/master/run_generation.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.111.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 10251 (10K) [text/plain]\n",
            "Saving to: ‘run_generation.py’\n",
            "\n",
            "run_generation.py   100%[===================>]  10.01K  --.-KB/s    in 0s      \n",
            "\n",
            "2022-04-28 19:01:28 (65.5 MB/s) - ‘run_generation.py’ saved [10251/10251]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! rm -fr models\n",
        "! mkdir models"
      ],
      "metadata": {
        "id": "RBK-czb8Wula"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!python3 run_clm.py \\\n",
        "    --model_name_or_path gpt2 \\\n",
        "    --train_file 'train.txt' \\\n",
        "    --validation_file 'val.txt' \\\n",
        "    --per_device_train_batch_size 8 \\\n",
        "    --per_device_eval_batch_size 8 \\\n",
        "    --do_train \\\n",
        "    --do_eval \\\n",
        "    --output_dir models \\\n",
        "    --overwrite_output_dir"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yfDECDBnWQAv",
        "outputId": "19c35f92-dfe7-48ad-8ab8-3dff72cf7763"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "04/28/2022 19:19:08 - WARNING - __main__ - Process rank: -1, device: cpu, n_gpu: 0distributed training: False, 16-bits training: False\n",
            "04/28/2022 19:19:08 - INFO - __main__ - Training/evaluation parameters TrainingArguments(\n",
            "_n_gpu=0,\n",
            "adafactor=False,\n",
            "adam_beta1=0.9,\n",
            "adam_beta2=0.999,\n",
            "adam_epsilon=1e-08,\n",
            "bf16=False,\n",
            "bf16_full_eval=False,\n",
            "data_seed=None,\n",
            "dataloader_drop_last=False,\n",
            "dataloader_num_workers=0,\n",
            "dataloader_pin_memory=True,\n",
            "ddp_bucket_cap_mb=None,\n",
            "ddp_find_unused_parameters=None,\n",
            "debug=[],\n",
            "deepspeed=None,\n",
            "disable_tqdm=False,\n",
            "do_eval=True,\n",
            "do_predict=False,\n",
            "do_train=True,\n",
            "eval_accumulation_steps=None,\n",
            "eval_delay=0,\n",
            "eval_steps=None,\n",
            "evaluation_strategy=IntervalStrategy.NO,\n",
            "fp16=False,\n",
            "fp16_backend=auto,\n",
            "fp16_full_eval=False,\n",
            "fp16_opt_level=O1,\n",
            "gradient_accumulation_steps=1,\n",
            "gradient_checkpointing=False,\n",
            "greater_is_better=None,\n",
            "group_by_length=False,\n",
            "half_precision_backend=auto,\n",
            "hub_model_id=None,\n",
            "hub_private_repo=False,\n",
            "hub_strategy=HubStrategy.EVERY_SAVE,\n",
            "hub_token=<HUB_TOKEN>,\n",
            "ignore_data_skip=False,\n",
            "include_inputs_for_metrics=False,\n",
            "label_names=None,\n",
            "label_smoothing_factor=0.0,\n",
            "learning_rate=5e-05,\n",
            "length_column_name=length,\n",
            "load_best_model_at_end=False,\n",
            "local_rank=-1,\n",
            "log_level=-1,\n",
            "log_level_replica=-1,\n",
            "log_on_each_node=True,\n",
            "logging_dir=models/runs/Apr28_19-19-08_0ec7745744e5,\n",
            "logging_first_step=False,\n",
            "logging_nan_inf_filter=True,\n",
            "logging_steps=500,\n",
            "logging_strategy=IntervalStrategy.STEPS,\n",
            "lr_scheduler_type=SchedulerType.LINEAR,\n",
            "max_grad_norm=1.0,\n",
            "max_steps=-1,\n",
            "metric_for_best_model=None,\n",
            "mp_parameters=,\n",
            "no_cuda=False,\n",
            "num_train_epochs=3.0,\n",
            "optim=OptimizerNames.ADAMW_HF,\n",
            "output_dir=models,\n",
            "overwrite_output_dir=True,\n",
            "past_index=-1,\n",
            "per_device_eval_batch_size=8,\n",
            "per_device_train_batch_size=8,\n",
            "prediction_loss_only=False,\n",
            "push_to_hub=False,\n",
            "push_to_hub_model_id=None,\n",
            "push_to_hub_organization=None,\n",
            "push_to_hub_token=<PUSH_TO_HUB_TOKEN>,\n",
            "remove_unused_columns=True,\n",
            "report_to=['tensorboard'],\n",
            "resume_from_checkpoint=None,\n",
            "run_name=models,\n",
            "save_on_each_node=False,\n",
            "save_steps=500,\n",
            "save_strategy=IntervalStrategy.STEPS,\n",
            "save_total_limit=None,\n",
            "seed=42,\n",
            "sharded_ddp=[],\n",
            "skip_memory_metrics=True,\n",
            "tf32=None,\n",
            "tpu_metrics_debug=False,\n",
            "tpu_num_cores=None,\n",
            "use_legacy_prediction_loop=False,\n",
            "warmup_ratio=0.0,\n",
            "warmup_steps=0,\n",
            "weight_decay=0.0,\n",
            "xpu_backend=None,\n",
            ")\n",
            "04/28/2022 19:19:09 - WARNING - datasets.builder - Using custom data configuration default-cdbda21d42c2a5ec\n",
            "04/28/2022 19:19:09 - INFO - datasets.builder - Overwrite dataset info from restored data version.\n",
            "04/28/2022 19:19:09 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8\n",
            "04/28/2022 19:19:09 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)\n",
            "04/28/2022 19:19:09 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8\n",
            "100% 2/2 [00:00<00:00, 38.34it/s]\n",
            "[INFO|configuration_utils.py:659] 2022-04-28 19:19:09,221 >> loading configuration file https://huggingface.co/gpt2/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51\n",
            "[INFO|configuration_utils.py:704] 2022-04-28 19:19:09,223 >> Model config GPT2Config {\n",
            "  \"_name_or_path\": \"gpt2\",\n",
            "  \"activation_function\": \"gelu_new\",\n",
            "  \"architectures\": [\n",
            "    \"GPT2LMHeadModel\"\n",
            "  ],\n",
            "  \"attn_pdrop\": 0.1,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"embd_pdrop\": 0.1,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"initializer_range\": 0.02,\n",
            "  \"layer_norm_epsilon\": 1e-05,\n",
            "  \"model_type\": \"gpt2\",\n",
            "  \"n_ctx\": 1024,\n",
            "  \"n_embd\": 768,\n",
            "  \"n_head\": 12,\n",
            "  \"n_inner\": null,\n",
            "  \"n_layer\": 12,\n",
            "  \"n_positions\": 1024,\n",
            "  \"reorder_and_upcast_attn\": false,\n",
            "  \"resid_pdrop\": 0.1,\n",
            "  \"scale_attn_by_inverse_layer_idx\": false,\n",
            "  \"scale_attn_weights\": true,\n",
            "  \"summary_activation\": null,\n",
            "  \"summary_first_dropout\": 0.1,\n",
            "  \"summary_proj_to_labels\": true,\n",
            "  \"summary_type\": \"cls_index\",\n",
            "  \"summary_use_proj\": true,\n",
            "  \"task_specific_params\": {\n",
            "    \"text-generation\": {\n",
            "      \"do_sample\": true,\n",
            "      \"max_length\": 50\n",
            "    }\n",
            "  },\n",
            "  \"transformers_version\": \"4.19.0.dev0\",\n",
            "  \"use_cache\": true,\n",
            "  \"vocab_size\": 50257\n",
            "}\n",
            "\n",
            "[INFO|tokenization_auto.py:370] 2022-04-28 19:19:09,373 >> Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
            "[INFO|configuration_utils.py:659] 2022-04-28 19:19:09,525 >> loading configuration file https://huggingface.co/gpt2/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51\n",
            "[INFO|configuration_utils.py:704] 2022-04-28 19:19:09,526 >> Model config GPT2Config {\n",
            "  \"_name_or_path\": \"gpt2\",\n",
            "  \"activation_function\": \"gelu_new\",\n",
            "  \"architectures\": [\n",
            "    \"GPT2LMHeadModel\"\n",
            "  ],\n",
            "  \"attn_pdrop\": 0.1,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"embd_pdrop\": 0.1,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"initializer_range\": 0.02,\n",
            "  \"layer_norm_epsilon\": 1e-05,\n",
            "  \"model_type\": \"gpt2\",\n",
            "  \"n_ctx\": 1024,\n",
            "  \"n_embd\": 768,\n",
            "  \"n_head\": 12,\n",
            "  \"n_inner\": null,\n",
            "  \"n_layer\": 12,\n",
            "  \"n_positions\": 1024,\n",
            "  \"reorder_and_upcast_attn\": false,\n",
            "  \"resid_pdrop\": 0.1,\n",
            "  \"scale_attn_by_inverse_layer_idx\": false,\n",
            "  \"scale_attn_weights\": true,\n",
            "  \"summary_activation\": null,\n",
            "  \"summary_first_dropout\": 0.1,\n",
            "  \"summary_proj_to_labels\": true,\n",
            "  \"summary_type\": \"cls_index\",\n",
            "  \"summary_use_proj\": true,\n",
            "  \"task_specific_params\": {\n",
            "    \"text-generation\": {\n",
            "      \"do_sample\": true,\n",
            "      \"max_length\": 50\n",
            "    }\n",
            "  },\n",
            "  \"transformers_version\": \"4.19.0.dev0\",\n",
            "  \"use_cache\": true,\n",
            "  \"vocab_size\": 50257\n",
            "}\n",
            "\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,513 >> loading file https://huggingface.co/gpt2/resolve/main/vocab.json from cache at /root/.cache/huggingface/transformers/684fe667923972fb57f6b4dcb61a3c92763ad89882f3da5da9866baf14f2d60f.c7ed1f96aac49e745788faa77ba0a26a392643a50bb388b9c04ff469e555241f\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,514 >> loading file https://huggingface.co/gpt2/resolve/main/merges.txt from cache at /root/.cache/huggingface/transformers/c0c761a63004025aeadd530c4c27b860ec4ecbe8a00531233de21d865a402598.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,514 >> loading file https://huggingface.co/gpt2/resolve/main/tokenizer.json from cache at /root/.cache/huggingface/transformers/16a2f78023c8dc511294f0c97b5e10fde3ef9889ad6d11ffaa2a00714e73926e.cf2d0ecb83b6df91b3dbb53f1d1e4c311578bfd3aa0e04934215a49bf9898df0\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,514 >> loading file https://huggingface.co/gpt2/resolve/main/added_tokens.json from cache at None\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,514 >> loading file https://huggingface.co/gpt2/resolve/main/special_tokens_map.json from cache at None\n",
            "[INFO|tokenization_utils_base.py:1781] 2022-04-28 19:19:10,514 >> loading file https://huggingface.co/gpt2/resolve/main/tokenizer_config.json from cache at None\n",
            "[INFO|configuration_utils.py:659] 2022-04-28 19:19:10,664 >> loading configuration file https://huggingface.co/gpt2/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51\n",
            "[INFO|configuration_utils.py:704] 2022-04-28 19:19:10,665 >> Model config GPT2Config {\n",
            "  \"_name_or_path\": \"gpt2\",\n",
            "  \"activation_function\": \"gelu_new\",\n",
            "  \"architectures\": [\n",
            "    \"GPT2LMHeadModel\"\n",
            "  ],\n",
            "  \"attn_pdrop\": 0.1,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"embd_pdrop\": 0.1,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"initializer_range\": 0.02,\n",
            "  \"layer_norm_epsilon\": 1e-05,\n",
            "  \"model_type\": \"gpt2\",\n",
            "  \"n_ctx\": 1024,\n",
            "  \"n_embd\": 768,\n",
            "  \"n_head\": 12,\n",
            "  \"n_inner\": null,\n",
            "  \"n_layer\": 12,\n",
            "  \"n_positions\": 1024,\n",
            "  \"reorder_and_upcast_attn\": false,\n",
            "  \"resid_pdrop\": 0.1,\n",
            "  \"scale_attn_by_inverse_layer_idx\": false,\n",
            "  \"scale_attn_weights\": true,\n",
            "  \"summary_activation\": null,\n",
            "  \"summary_first_dropout\": 0.1,\n",
            "  \"summary_proj_to_labels\": true,\n",
            "  \"summary_type\": \"cls_index\",\n",
            "  \"summary_use_proj\": true,\n",
            "  \"task_specific_params\": {\n",
            "    \"text-generation\": {\n",
            "      \"do_sample\": true,\n",
            "      \"max_length\": 50\n",
            "    }\n",
            "  },\n",
            "  \"transformers_version\": \"4.19.0.dev0\",\n",
            "  \"use_cache\": true,\n",
            "  \"vocab_size\": 50257\n",
            "}\n",
            "\n",
            "[INFO|modeling_utils.py:1879] 2022-04-28 19:19:10,977 >> loading weights file https://huggingface.co/gpt2/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/752929ace039baa8ef70fe21cdf9ab9445773d20e733cf693d667982e210837e.323c769945a351daa25546176f8208b3004b6f563438a7603e7932bae9025925\n",
            "[INFO|modeling_utils.py:2189] 2022-04-28 19:19:14,598 >> All model checkpoint weights were used when initializing GPT2LMHeadModel.\n",
            "\n",
            "[INFO|modeling_utils.py:2198] 2022-04-28 19:19:14,599 >> All the weights of GPT2LMHeadModel were initialized from the model checkpoint at gpt2.\n",
            "If your task is similar to the task the model of the checkpoint was trained on, you can already use GPT2LMHeadModel for predictions without further training.\n",
            "04/28/2022 19:19:14 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-c18940e86dc50065.arrow\n",
            "Running tokenizer on dataset:   0% 0/1 [00:00<?, ?ba/s][WARNING|tokenization_utils_base.py:3393] 2022-04-28 19:19:15,131 >> Token indices sequence length is longer than the specified maximum sequence length for this model (1272 > 1024). Running this sequence through the model will result in indexing errors\n",
            "[WARNING|run_clm.py:393] 2022-04-28 19:19:15,131 >> ^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
            "04/28/2022 19:19:15 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-9c24f8c85f3e34e7.arrow\n",
            "Running tokenizer on dataset: 100% 1/1 [00:00<00:00,  1.93ba/s]\n",
            "04/28/2022 19:19:15 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-a48ccdafc63c35a0.arrow\n",
            "Grouping texts in chunks of 1024:   0% 0/1 [00:00<?, ?ba/s]04/28/2022 19:19:15 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-cdbda21d42c2a5ec/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-6e81c2baf373d1a3.arrow\n",
            "Grouping texts in chunks of 1024: 100% 1/1 [00:00<00:00,  4.34ba/s]\n",
            "/usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
            "  FutureWarning,\n",
            "[INFO|trainer.py:1317] 2022-04-28 19:19:15,788 >> ***** Running training *****\n",
            "[INFO|trainer.py:1318] 2022-04-28 19:19:15,788 >>   Num examples = 1533\n",
            "[INFO|trainer.py:1319] 2022-04-28 19:19:15,788 >>   Num Epochs = 3\n",
            "[INFO|trainer.py:1320] 2022-04-28 19:19:15,788 >>   Instantaneous batch size per device = 8\n",
            "[INFO|trainer.py:1321] 2022-04-28 19:19:15,788 >>   Total train batch size (w. parallel, distributed & accumulation) = 8\n",
            "[INFO|trainer.py:1322] 2022-04-28 19:19:15,788 >>   Gradient Accumulation steps = 1\n",
            "[INFO|trainer.py:1323] 2022-04-28 19:19:15,788 >>   Total optimization steps = 576\n",
            "  0% 0/576 [00:00<?, ?it/s]^C\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Hugging Face Artists"
      ],
      "metadata": {
        "id": "FOT_E_Ywmbtu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install transformer"
      ],
      "metadata": {
        "id": "zEQzqdwalvb3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import pipeline\n",
        "generator = pipeline('text-generation',\n",
        "                     model='huggingartists/muse')\n",
        "generator(\"I am feeling \", num_return_sequences=5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365,
          "referenced_widgets": [
            "072e32b1699a492f91101a180da88793",
            "35633ffba72e445abfe18adebfb75498",
            "680a0c3a1a0d4f1bb0293a5e55b0be2a",
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        {
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          "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 am feeling \\nIll never let you down \\nAnd I am feeling \\nReckless, yeah\\nYou are so beautiful \\nYoure so beautiful to me\\nI just cant let you go\\nAnd I am feeling \\nIm feeling \\nMy mind blowing\\nI just cant let you go\\nAnd I am feeling \\nIm feeling \\nIm feeling \\nI just cant let you go\\nAnd I am feeling \\nIm feeling \\nI just cant let you go\\nI cant get you out of my mind\\nI cant get you out of my mind\\nIll make you feel \\nI want to please you, but I cant\\nAnd I am feeling \\nIm feeling \\nIm feeling Youre such a mess and I cant\\nWish I could, but I cant\\nLet your inhibitions get the better of me\\nLet your inhibitions get the better of me\\nIll make you feel \\nI want to please you,'},\n",
              " {'generated_text': 'I am feeling \\nYou make me aroused\\nYour scent is on me\\nI want you to love me\\nMake me obey\\nMake me obey\\nYou make me want to obey\\nDont you know that I adore you?\\nYou make me aroused\\nYour scent is on me\\nI want you to love me\\nMake me obey\\nMake me obey\\nDont you know that I adore you?\\nYou make me aroused\\nYour scent is on me\\nI want you to love me\\nMake me obey\\nMake me obey\\nDont you know that I adore you?\\nYou make me aroused\\nYour scent is on me\\nI want you to love me\\nMake me obey\\nMake me obey\\nDont you know that I adore you?\\nYou make me aroused\\nYou make me aroused\\nYou make me aroused\\nDont you know that I adore you?\\nYou make me aroused\\nYour scent is on me\\nI want you to love me\\nMake'},\n",
              " {'generated_text': 'I am feeling \\nYour heart is just hurting\\nIts not gonna change for me\\nAll I can do is smile and take your time to reflect\\nWhen you look me in the eye\\nAnd tell me I was just too busy\\nOr am I just too busy hiding from the world?\\nWell, whatever\\nWell, Ill just play by the rules\\nYoull see, my heart is feeling \\nYour heart is just hurting\\nIts not gonna change for me\\nAll I can do is smile and take your time to reflect\\nWhen you look me in the eye\\nAnd tell me I was just too busy\\nOr am I just too busy hiding from the world?Well, whatever\\nIll just play by the rulesYoull see, my heart is feeling \\nYour heart is just feeling \\nYour heart is just hurting\\nIts not gonna change for me\\nAll I can do is smile and take your time to reflect\\nWhen you look me in the eye\\nAnd tell'},\n",
              " {'generated_text': 'I am feeling \\nMy heart is feeling \\nMy feelings changing\\nOh-woah-oh-oh-oh\\nI feel so alive\\nOh-woah-oh-oh-oh\\nI feel so alive\\nOh-woah-oh-oh-oh\\nDont you know Ive got you\\nTake me back!\\nI need you to know that I care\\nI know I care\\nYoure aroused\\nYoure aroused\\nI want to hold you until I can\\nIve got you\\nI need you to know that I care\\nI care\\nYoure aroused\\nYoure aroused\\nI want to hold you until I can\\nIve got you\\nI need you to know that I care\\nI care\\nYoure aroused\\nYoure arousedI want to hold you until I can\\nIve got you\\nI need you to know that I care\\nI care\\nYoure aroused\\nYoure aroused\\nI want to hold you'},\n",
              " {'generated_text': 'I am feeling \\nI am getting up late \\nI am feeling \\nI am feeling \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling Ill be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling \\nIll be back by tomorrow \\nI am feeling \\nI am feeling \\nI am feeling Ill be back by tomorrow \\nI am feeling '}]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "generator(\"everything is going to be okay\", num_return_sequences=5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1jnQ5HFZmeCq",
        "outputId": "99029933-5cd4-4857-d015-350451ee1489"
      },
      "execution_count": 26,
      "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': 'everything is going to be okay\\nI can feel it\\nI cant get it right\\nYou can see it\\nI can feel it\\nI can feel it\\nI can feel it\\nI can feel itDont you just forget me?\\nI never had the chance to feel it\\nAnd you never could, you could never dream of it\\nAnd you could never love me\\nAnd you could never love me\\nYou could never love me\\nDont you just forget me?\\nI never had the time to feel it\\nAnd you never could, you could never dream of it\\nAnd you could never love me\\nAnd you could never love meDont you just forget me?\\nDont you just forget me?\\nI never had the time to feel it\\nAnd you never could, you could never dream of it\\nAnd you could never love meDont you just forget me?\\nI never had the time to feel it\\nAnd you never could, you could'},\n",
              " {'generated_text': 'everything is going to be okay\\nNo one can see or hear us anymore\\nThey pretend to be strangers\\nBut all the love they bring\\nAnd the scars on our souls\\nAnd our minds forever fracturedI want to run\\nI want to run on my own\\nYou want to be afraid\\nOf everything\\nYou want to adore us\\nBut weve just gone\\nAnd Im losing\\nI want to run\\nI want to run on my ownI want to run, baby\\nYou want to adore us\\nBut theyve just gone\\nAnd Im losing\\nI want to run, baby\\nYou want to adore us\\nBut theyve just gone\\nAnd Im losingI want to run, babyDont let yourself down\\nIf you could stop pretending\\nYour beautiful are all that youd never had\\nAnd dont let yourself go\\nI want to run, baby\\nI want to run, babyDont let yourself down\\nIts okay\\nWe should be alone\\nAnd we should'},\n",
              " {'generated_text': 'everything is going to be okay?\\nAnd God I know he cares deeply\\nHis anger is infectious and I know that\\nAll he needs is love and I know that\\nHope and joy and joy and I know that\\nIf I live my life in fear, I will burn\\nAnd I will burn, I will burn, I will burn, I will burn, I will burn\\nI wont let you down, I wont let you down\\nI will make you my slave, Ill make you mine\\nIll make you my slave to fuck with\\nI will make you my slave to fuck with\\nAnd I wont let you down, I wont let you down\\nI will make you my slave to fuck with\\nAnd I wont let you down\\nAnd I wont let you down\\nAnd I wont let you down\\nAnd I wont let you down\\nI wont let you down\\nI wont let you down\\nAnd I wont let you down\\nI wont let you down\\nAnd I wont'},\n",
              " {'generated_text': 'everything is going to be okay\\nAnd I feel pain in my chest\\nLike the loneliness is gone\\nAnd I feel pain in my heart\\nLike I broke through\\nI cant sleep\\nAnd Im falling asleep\\nIts got to be today\\nIm falling asleep\\nIts got to be today\\nI dont know if its right\\nI dont know if its right\\nI dont know if its right\\nAnd Im just suffocating\\nAnd Im drifting away\\nAnd Im drifting away\\nIt doesnt matter cause its real\\nAnd Im alive\\nAnd Im happy\\nAnd Im not dying\\nBut Im still breaking out\\nAnd Im breaking out\\nAnd Im breaking out\\nAnd Im falling down\\nAnd Im falling down\\nYou know how Im feeling\\nI just cant get up\\nAnd run\\nAnd hide\\nAnd dont be ashamed\\nCause Im losing\\nI just cant get up\\nAnd run\\nAnd hide\\nAnd dont be ashamed\\nCause Im losing\\nAnd Im losing\\nAnd Im losingI cant get'},\n",
              " {'generated_text': 'everything is going to be okay\\nDont let yourself go\\nLet the darkness consume\\nYoure still alive\\nAnd we are fighting for our lives\\nIf you do not stop the darkness\\nThen let the gods understand\\nLet them control the fate of us\\nOh oh oh\\nTheyll do whatever they want\\nYou can choose\\nYou can choose\\nYou can choose\\nWe will fight\\nWe will fight\\nYou will be okay\\nDont let yourself go\\nLet the darkness consume\\nYoure still alive\\nAnd we are fighting for our lives\\nIf you do not stop the darkness\\nThen let the gods understand\\nLet them control the fate of us\\nOh oh oh\\nTheyll do whatever they want\\nYou can choose\\nYou can choose\\nThey will be okayOoh...Come onDont let yourself go\\nCome and rescue us all\\nAnd we wont let you go!Rise up, ooh\\nLets crush your dreams\\nOoh...Come and'}]"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "generator = pipeline('text-generation',\n",
        "                     model='huggingartists/bob-dylan')\n",
        "generator(\"I am feeling good\", num_return_sequences=5)"
      ],
      "metadata": {
        "colab": {
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          "height": 365,
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          "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 am feeling good, I am a state trooper\\nIm going back to New Orleans, baby, I can see my baby tonight\\nI will be back on this coast by the next ship\\nI will always be the same, Im sticking with you\\nStay up-doin the things you said and you can always do\\nYou wont have to feel bad to be good, dont you have to feel bad to be true\\nIll be back\\nAll right, all right\\nLoving you is one thing\\nThat every man must keep\\nAll right, all right\\nHe shouldnt be ashamed of all that you see, all that he takes\\nHe shouldnt be proud of you that much\\nFor your talent is not to be honed in vain\\nIt be glorified in the end\\nAll right, all right\\nTake off your mask, give it off\\nYou wont be a hit\\nAll right, all right\\nLoving you is one thing\\nThat every man must keep'},\n",
              " {'generated_text': 'I am feeling good\\nHeading out for the east coast\\nLord knows Ive paid some dues getting through\\nLiving down in New Orleans\\nWith my woman of the lowlands\\nI met some pretty boys\\nAnd they jumped right into my heart\\nSplitting up like they did before\\nLiving down in New Orleans\\nLooking for a new lover\\nLord knows Ive paid some dues getting through\\nLiving down in New Orleans\\nLooking for a new lover\\nI never done wrong\\nBut if you miss your train thats all you gotta do\\nLord, get outa here quick\\nYou wont regret it\\nLiving down in New Orleans\\nLooking for a new lover\\nLord, get outa here quick\\nLord, get outa here quick\\nYou wont regret itJohn Wesley Harding held a gun to his head\\nAnd in return for a ride\\n’Cited a robbery,’’’’\\u2005for\\u2005one\\u2005dollar\\n’C'},\n",
              " {'generated_text': 'I am feeling good\\nI feel good down the highway\\nHolding on to a sacred trust\\nThat I’m building in the wind\\nYeah, and all the good fortune-telling\\nI feel good down the highway\\nHolding on to a sacred trust\\nThat I’m building in the wind\\nYeah, and all the good fortune-telling\\nI feel good down the highway, holding on\\nHolding on to a sacred trust\\nThat I’m building in the wind\\nYeah, and all the good fortune-telling\\nI feel good down the highway\\nHolding on to a sacred trust\\nThat I’m building in the wind\\nYeah, and all the good fortune-telling\\nI feel good down the highway, holding on\\nHolding on to a sacred trust\\nThat I’m building in the wind\\nYeah, and all the good fortune-telling\\nI feel good down the highway\\nHolding on to a'},\n",
              " {'generated_text': 'I am feeling good, Im in the mood, Im in the mood for love, Im in the mood for love\\nIm in the mood for love, Im in the mood for love\\nIm in the mood for loveLove, oh love\\nLove\\nLove\\nLove\\nLove\\nWont you come see me, Queen Jane?\\nYoure gonna be my honey love\\nWhen I paint my masterpiece\\nLove, oh love\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLoveLove\\nLove\\nLove\\nLove\\nLove\\nLoveClouds of mist\\nRain\\nLove\\nLove\\nLove\\nLove\\nLoveYou are all so much better than me\\nYoure lookin kinda lonesome\\nLove, oh love\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLove\\nLoveLoveI pity the poor immigrant\\nWho wishes he wouldve stayed home\\nWho uses all his power to do evil\\nBut in the'},\n",
              " {'generated_text': 'I am feeling good and feeling good on my own\\nIll be rolling next summer\\nDown in the easy chair\\nGenghis Khan, he couldnt keep\\nAll his kings supplied with sleep\\nWell, Ive just climbed out of bed\\nAnd Im sitting on the sofa\\nWonderin why Im feelin so good\\nOn my own\\nYes, Ill be rolling next summerDown in the easy chairCome around you, little girl\\nBring me my broom\\nLeave me by your door\\nI’ll do anything for you\\nYou may call me Terry, Terry, hey, hey, hey\\nWhatever you need, you can always come with me\\nWhen the deal goes down\\nWell, I will pawn my watch\\nAnd chain it to my waist\\nYou’ll be rolling by me pretty fast\\nYou’ll catch my bus\\nWhen I’m in L.A\\nI’ll be rolling by me\\nOh, you will ride by me'}]"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "eminem = pipeline('text-generation',\n",
        "                     model='huggingartists/eminem')\n",
        "eminem(\"I woke up too late today\", num_return_sequences=5)"
      ],
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          "text": [
            "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
          ]
        },
        {
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          "data": {
            "text/plain": [
              "[{'generated_text': 'I woke up too late today\\nShe said, “I dont know where I’m goin”\\nI said, “here I’m goin”\\nShe said, “I dont know where I’m goin”\\nI said, “here I’m goin”\\nThirty degrees, way too cold, so hold up, dear\\nThis is your song, youll never hear it again\\nBut youll sing it on your next song, whenever you have the mic\\nBounce now, hands up, you know how we do\\nWe make the club jump everywhere we go\\nIts no secret, everybody know\\nWhen Dres involved, there was plenty money involved\\nAnd plenty honeys involved, the sunny Sundays and palm trees\\nCali, everyday its just another party from the valleys\\nAll the way to them 8 Mile alleys, lets rally\\nHands up for the grand finale\\nNow'},\n",
              " {'generated_text': 'I woke up too late today, shes acting weird\\nI should call her et cetera, shes goin in your den\\nIts hot, Ho think its hot? Ho, chill, act cool\\nHad to look out for your next excuse to be at an all-time low\\nI smoke a fat pound of grass, fall on my head\\nWith a seedling in my cerebral now, Im goin to pass the test\\nIm sittin in your living room, its dark\\nHow did you get to know me? Im this, Im that\\nYou better read my bio, dont compare me to the rest\\nIll be at your side like a stagehand, Im that\\nHere, call me extra, extraterrestrial\\nExtra, extra, extraterrestrial\\nI jump inside of the Buick, I ride on a suave and slick track\\nBut I got a flat line that I never paid for, so fuck em all!\\nI stuck out like a'},\n",
              " {'generated_text': 'I woke up too late today, must be the sun\\nAint got a fortune and I cant pretend to give\\nA little bit of greed mixed with some hard liquor\\nSome dogma thatll brainwash your world picture\\nAnd a shock when you get mocked at the job you hate\\nBy the boss when you’re not co-operating\\nCause youre not giving up while the world is shaking!\\nYou waited this long, now stop debating\\nCause we are back on the streets and demonstrating\\nI know that you got a job, Ms. Teacher\\nBut our planets health problems complicating!\\nSo the NDCs and SDGs\\nAre technically our last chance to keep\\nGlobal warming below 1.5 degrees\\nSo Id say: Lets take to the streets\\nSo call all your friends, tell em to dance\\nCut that - Tell em to act and panic instead\\nAnd get ready, cause this shits about to get heavy\\nThey be stealing our future'},\n",
              " {'generated_text': 'I woke up too late today, she pulled my hand out\\nSpilt her liquor on me\\nGave my dick to Ortiz\\nGave my dawgs a fresh hundred grand\\nNow theres gravel in our voices\\nGlued we be\\nGlass is shattered from the fight\\nIn this tug of war, youll always win\\nEven when Im right\\nCause you feed me fables from your head\\nWith violent words and empty threats\\nAnd its sick that all these battles\\nAre what keeps me satisfied\\nJust gonna stand there and watch me burn\\nWell, thats alright because I like the way it hurts\\nJust gonna stand there and hear me cry\\nWell, thats alright because I love the way you lie\\nI love the way you lie, oh\\nSo maybe Im a masochist\\nI try to run, but I dont wanna ever leave\\nTil the walls are going up\\nIn smoke with all our memories\\nJust gonna stand there and watch me burn\\n'},\n",
              " {'generated_text': 'I woke up too late today, couldnt get my shoes off\\nI put em on, I guess they didnt wear em Onyx, didnt matter, Cause Im a motherfuckin renegadeI know you miss your mom and dad\\nI still remember the window shopping spree in\\nManassas in the front yard of 54\\nAnd the little kids playing Rock and Roll\\nAnd if you think Im great, you better be a killer\\nA killer instinct runs in the blood\\nAnd Im the killer instinct, Imhotep\\nThe little kids playing Rock and Roll, yeah\\nIm the killer instinct, Im the killer instinct, Im the killer instinctYall better leave dat boy alone\\nBetter leave dat boy alone\\nBetter leave that boy alone\\nBetter leave that boy alone\\nBetter leave that boy alone\\nBetter leave that boy alone\\nYeah!\\nAnd what I want to do is try to give you something to be mad about\\nI cant understand a word you say \\nI think'}]"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "52euMQphl73E"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}