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        "Author: [Manuel Romero](https://twitter.com/mrm8488)"
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            "\u001b[?25h  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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            "90efc0a66cc44173b4abe87b17a0bdb6",
            "20244f6fbf754464a17efb38940f945a",
            "2f67428b498f427aa4daac04e158fe48",
            "4e304ba336ad4c40aae81394d9781227",
            "cc1bac03c3fd41fb830db5269e9c2e34",
            "532769ea383a4a8e853d4329e45fb5fd",
            "75456d7627114560880d82dbe6322a4a",
            "00a62dac673a48348e068df256a17725",
            "dc3c62a7e418431bb41b9b7e5ae17c70",
            "a284617d6d6a45a1afead767f66b77ad",
            "ec50ef5a286f4e8895cdf0975169188a",
            "130eaad9070640e690f6295b2a188187"
          ]
        }
      },
      "source": [
        "from transformers import AutoModelWithLMHead, AutoTokenizer\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"mrm8488/t5-base-finetuned-common_gen\")\n",
        "model = AutoModelWithLMHead.from_pretrained(\"mrm8488/t5-base-finetuned-common_gen\")"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "aa46771609c345519027a3ff033db3a3",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1292.0, style=ProgressStyle(description…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ecc145ecff7444fbbb4bad1f4e907662",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=791656.0, style=ProgressStyle(descripti…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b14464726cf248099c799e14a0590360",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1786.0, style=ProgressStyle(description…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "94173934e23d4e12a27bf84b2aa40264",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=25.0, style=ProgressStyle(description_w…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/transformers/modeling_auto.py:785: FutureWarning: The class `AutoModelWithLMHead` is deprecated and will be removed in a future version. Please use `AutoModelForCausalLM` for causal language models, `AutoModelForMaskedLM` for masked language models and `AutoModelForSeq2SeqLM` for encoder-decoder models.\n",
            "  FutureWarning,\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cc1bac03c3fd41fb830db5269e9c2e34",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1187795696.0, style=ProgressStyle(descr…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GTQg8UBONLM5"
      },
      "source": [
        "def gen_sentence(words, max_length=32):\n",
        "  input_text = words\n",
        "  \n",
        "  features = tokenizer([input_text], return_tensors='pt')\n",
        "\n",
        "  output = model.generate(input_ids=features['input_ids'], \n",
        "               attention_mask=features['attention_mask'],\n",
        "               max_length=max_length)\n",
        "\n",
        "  return tokenizer.decode(output[0])"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AYxl2Bt7LGKt"
      },
      "source": [
        "#@title Insert some words (space separated) to generate a sentece:\n",
        "\n",
        "words = 'pear basket pick put tree' #@param {type:\"string\"}\n",
        "\n"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fzh_XXmnNSmR",
        "outputId": "c1a6b303-aea7-4a54-ba6a-84d3e2e86b7b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "gen_sentence(words)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'A man is picking pears and putting them in a basket under a tree.'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "11UhEXxkNUE5"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}