{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zXO7NrJXV4Lj"
      },
      "source": [
        "Text recognition model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "6PeT6TJIDuGX",
        "outputId": "99afa972-4a8a-4a6f-f9fc-dd755a84e675"
      },
      "outputs": [
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          "name": "stdout",
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          "text": [
            "Collecting transformers\n",
            "  Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m56.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
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            "  Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
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            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2022.10.31)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.27.1)\n",
            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m89.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
            "  Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m62.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.65.0)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.16)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
            "Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
            "Successfully installed huggingface-hub-0.16.4 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.31.0\n"
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        "!pip install transformers"
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        {
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              "model_id": "c59dcb651a3b48ffabac5a33026fd891",
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            "text/plain": [
              "Downloading pytorch_model.bin:   0%|          | 0.00/2.23G [00:00<?, ?B/s]"
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          },
          "metadata": {},
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        {
          "name": "stderr",
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          "text": [
            "Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-large-handwritten and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
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        {
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            "text/plain": [
              "Downloading (…)neration_config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
            ]
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            "text/plain": [
              "Downloading (…)rocessor_config.json:   0%|          | 0.00/228 [00:00<?, ?B/s]"
            ]
          },
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        },
        {
          "name": "stderr",
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          "text": [
            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/models/vit/feature_extraction_vit.py:28: FutureWarning: The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use ViTImageProcessor instead.\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "# Use a pipeline as a high-level helper\n",
        "from transformers import pipeline\n",
        "\n",
        "pipe = pipeline(\"image-to-text\", model=\"microsoft/trocr-large-handwritten\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GFHMAbsfU6zR",
        "outputId": "078721db-6631-412e-c4cb-7003f8822bfc"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n",
            "Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-large-handwritten and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1369: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "indus tre\n"
          ]
        }
      ],
      "source": [
        "from transformers import TrOCRProcessor, VisionEncoderDecoderModel\n",
        "from PIL import Image\n",
        "import requests\n",
        "\n",
        "# load image from the IAM database\n",
        "url = 'https://fki.tic.heia-fr.ch/static/img/a01-122-02-00.jpg'\n",
        "image = Image.open(requests.get(url, stream=True).raw).convert(\"RGB\")\n",
        "\n",
        "processor = TrOCRProcessor.from_pretrained('microsoft/trocr-large-handwritten')\n",
        "model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-handwritten')\n",
        "pixel_values = processor(images=image, return_tensors=\"pt\").pixel_values\n",
        "\n",
        "generated_ids = model.generate(pixel_values)\n",
        "generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]\n",
        "\n",
        "print(generated_text)\n"
      ]
    }
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