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          "text": [
            "Collecting git+https://github.com/huggingface/transformers.git\n",
            "  Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-wsf2fve7\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-wsf2fve7\n",
            "  Resolved https://github.com/huggingface/transformers.git to commit 093848d3ccf3884caf048718b6bae833da0edb94\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (3.12.4)\n",
            "Collecting huggingface-hub<1.0,>=0.16.4 (from transformers==4.35.0.dev0)\n",
            "  Downloading huggingface_hub-0.18.0-py3-none-any.whl (301 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.0/302.0 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (1.23.5)\n",
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            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (2.31.0)\n",
            "Collecting tokenizers<0.15,>=0.14 (from transformers==4.35.0.dev0)\n",
            "  Downloading tokenizers-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m65.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers==4.35.0.dev0)\n",
            "  Downloading safetensors-0.4.0-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[31m81.8 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==4.35.0.dev0) (4.66.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers==4.35.0.dev0) (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,>=0.16.4->transformers==4.35.0.dev0) (4.5.0)\n",
            "Collecting huggingface-hub<1.0,>=0.16.4 (from transformers==4.35.0.dev0)\n",
            "  Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m38.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (3.3.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (2023.7.22)\n",
            "Building wheels for collected packages: transformers\n",
            "  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for transformers: filename=transformers-4.35.0.dev0-py3-none-any.whl size=7817578 sha256=7bced165bf704c41926ac510ec69fab1b28f8c603965ee8379e935dd9e3b25f4\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-8j1tnft9/wheels/e7/9c/5b/e1a9c8007c343041e61cc484433d512ea9274272e3fcbe7c16\n",
            "Successfully built transformers\n",
            "Installing collected packages: safetensors, huggingface-hub, tokenizers, transformers\n",
            "Successfully installed huggingface-hub-0.17.3 safetensors-0.4.0 tokenizers-0.14.1 transformers-4.35.0.dev0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import FuyuProcessor, FuyuForCausalLM\n",
        "from PIL import Image"
      ],
      "metadata": {
        "id": "D84P-xxDxklq"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# load model and processor\n",
        "model_id = \"adept/fuyu-8b\"\n",
        "processor = FuyuProcessor.from_pretrained(model_id)\n",
        "model = FuyuForCausalLM.from_pretrained(model_id)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 433,
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        "id": "HbJIkY72xxB2",
        "outputId": "359dfdc7-889e-41a7-ea3f-64e6544047e5"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
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            ],
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          "metadata": {}
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            ],
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            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " # prepare inputs for the model\n",
        "\n",
        "text_prompt = \"Describe how to cook this\\n\"\n",
        "image_path = \"pasta_image.png\"  # https://huggingface.co/adept-hf-collab/fuyu-8b/blob/main/bus.png\n",
        "image = Image.open(image_path)\n",
        "\n",
        "inputs = processor(text=text_prompt, images=image, return_tensors=\"pt\")\n",
        "# for k, v in inputs.items():\n",
        "#     inputs[k] = v.to(\"cuda:0\")\n",
        "\n",
        "# autoregressively generate text\n",
        "generation_output = model.generate(**inputs, max_new_tokens=7)\n",
        "generation_text = processor.batch_decode(generation_output[:, -7:], skip_special_tokens=True)\n",
        "# assert generation_text == ['The recipe to cook is as follows']\n",
        "# generation_te\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Z4ot--ax9ev",
        "outputId": "4e205b9b-d743-4db3-85ed-38852deb9b8f"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
            "Setting `pad_token_id` to `eos_token_id`:71013 for open-end generation.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "generation_text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pEPxit9S2yxn",
        "outputId": "9c43056b-11f5-4ff1-ab49-1633f207103a"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['To cook this dish, follow these steps']"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text_prompt = \"Caption this image\\n\"\n",
        "image_path = \"20230510_185358.png\"\n",
        "image = Image.open(image_path)\n",
        "\n",
        "inputs = processor(text=text_prompt, images=image, return_tensors=\"pt\")\n",
        "# for k, v in inputs.items():\n",
        "#     inputs[k] = v.to(\"cuda:0\")\n",
        "\n",
        "# autoregressively generate text\n",
        "generation_output = model.generate(**inputs, max_new_tokens=7)\n",
        "generation_text = processor.batch_decode(generation_output[:, -7:], skip_special_tokens=True)\n",
        "generation_text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F5m9JEa03Uyh",
        "outputId": "18f08245-5698-41bd-e566-bc9e8033026b"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
            "Setting `pad_token_id` to `eos_token_id`:71013 for open-end generation.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['The image features a table with a notebook,']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text_prompt = \"Identify the person in the image.\\n\"\n",
        "image_path = \"davidd.png\"\n",
        "image = Image.open(image_path)\n",
        "\n",
        "inputs = processor(text=text_prompt, images=image, return_tensors=\"pt\")\n",
        "# for k, v in inputs.items():\n",
        "#     inputs[k] = v.to(\"cuda:0\")\n",
        "\n",
        "# autoregressively generate text\n",
        "generation_output = model.generate(**inputs, max_new_tokens=7)\n",
        "generation_text = processor.batch_decode(generation_output[:, -7:], skip_special_tokens=True)\n",
        "generation_text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mfgHobvB__-K",
        "outputId": "302a9d34-cda8-4437-dfdf-6b7ef65e17bf"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
            "Setting `pad_token_id` to `eos_token_id`:71013 for open-end generation.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['In the image, there is a smiling older woman with']"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "mVC1LmpLBFEY"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}