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This behaviour is the source of the following dependency conflicts.\n", + "torchaudio 2.1.0+cu121 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\n", + "torchtext 0.16.0 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\n", + "torchtext 0.16.0 requires torchdata==0.7.0, but you have torchdata 0.5.1 which is incompatible.\n", + "torchvision 0.16.0+cu121 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0m\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Install huggingface Transformer library" + ], + "metadata": { + "id": "1vgrN8OAni_R" + } + }, + { + "cell_type": "code", + "source": [ + "pip install transformers==4.27.2 datasets==2.11.0 --quiet" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "32050499-5d73-4716-90f6-bf97865cbefb", + "id": "yybPZRypq3lh" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m106.7/106.7 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.8/6.8 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m468.7/468.7 kB\u001b[0m \u001b[31m9.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.5/110.5 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.3/134.3 kB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Load the datasets, LLM, tokenizer, configurator" + ], + "metadata": { + "id": "i_6bD8-ini_R" + } + }, + { + "cell_type": "code", + "source": [ + "from datasets import load_dataset\n", + "from transformers import AutoModelForSeq2SeqLM\n", + "from transformers import AutoTokenizer\n", + "from transformers import GenerationConfig" + ], + "metadata": { + "id": "_5SkOIqDq3li" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Loading DataSet\n", + "\n", + "Generating the summary of a dialogue with the pre-trained LLM Flan T5 from Huggingface. The list of available models in the HuggingFace *transformers* package can be found here:\n", + "\n", + "Upload simple dialogues from the Dialogsum huggingface dataset.\n", + "This contains 10000+dialogue and the corresponding manually labeled summaries and topics." + ], + "metadata": { + "id": "juuxoHVTq3li" + } + }, + { + "cell_type": "code", + "source": [ + "huggingface_dataset_name = \"knkarthick/dialogsum\"\n", + "#public dataset from huggingface\n", + "dataset = load_dataset(huggingface_dataset_name)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 400, + "referenced_widgets": [ + "68c28c1742f7450c9de3af45aced6677", + "5145046d92a745868aa9f4d3d6ef444c", + "450417826ff145af944ba5e0981dc186", + "eee74fdb99414c278bf64a35f89d79e4", + "5184f0953fec4b0eab916d0569071272", + "5809ba92c3854cf8a9307f6ca56c1130", + "bf2d6b6931104b2bba4f317a4a69c89f", + "bb0edb6277c14d1a99ef0c5e719a9884", + "1326ffc58fb549f28d46bd46e0915bad", + 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"outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading readme: 0%| | 0.00/4.65k [00:00 pFad - Phonifier reborn

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