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packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n", "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.15.2)\n", "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.2)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.2)\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) (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) (4.9.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n" ] } ], "source": [ "!pip install transformers sentencepiece" ] }, { "cell_type": "code", "source": [ "from transformers import MT5ForConditionalGeneration, AutoTokenizer\n", "# Load the trained model\n", "# model = MT5ForConditionalGeneration.from_pretrained(\"Chhabi/mt5-small-finetuned-Nepali-Health-50k-2\")\n", "model = MT5ForConditionalGeneration.from_pretrained(\"Chhabi/mt5-Health-Nepali\")\n", "\n", "\n", "# Load the tokenizer for generating new output\n", "tokenizer = AutoTokenizer.from_pretrained(\"Chhabi/mt5-Health-Nepali\",use_fast=True)" ], "metadata": { "id": "GDUYqWsVtrCn", "colab": { "base_uri": "https://localhost:8080/", "height": 365, "referenced_widgets": [ "24eae7e71b8f4095b01dd22a738a0ebe", "467385c8dc9b4955bda1cdf690bf423a", "28c26e2750ec4e42b1feb59c91770a22", "260bcfed18764a4eb528e78c72ad482d", "e60791e8d56b4f5ba2c1a951a8c2aebc", "5e0c82bca18044eaad41de0f027325fa", "1d4d184f7c084bb9a3394d8c59b4135d", "caf0b2470dfb471a88f631f1da693e6c", "42efaed73c53490abf3a3b48754eca4a", "3e12c840828d4d5f942300363a09509e", "0523e37e35a94ef3ba7c99b02bdad238", "e73e75277cef45629a500fd354be36c0", "68d6617c409d4db8a28f33136ed230f7", "f09e9be6aebb458f8717b44015dd9f20", "41afae7a170943d190423c48696b1839", "c954d1dbb8d84142940851e4ebe5eee4", "94eea74884ee450dbc1b758b5ec54d9f", "f758486357ac49c0b7888ad4d91d4a3d", "cf16f180c72c4a7e92e916c7f196474d", "6bbd42a867ef4b2f9d1de4dac5fd2076", "03308aa8932e478db66902d8e618d116", "f0ddc57149e149a3a68bced105f04a14", "7e4b6a74bf784c14937833700fc02a36", "b51c2b04cc9b4759a21d7a1e5632494e", "6c14d45419b041e088f0014aa546905c", "137d2d184e6540598ae98fcceb53d863", "66c7540363e948f5a3ff358f4ae2ec81", "53953b3380f24b8392ce006724e28f3c", "90682d341408448985e5affec823a9e1", "5ad3e22e8dcf4cebae2200b9e8a534de", "c2faf4c514464afaaf0f63f145d64a23", "9c93b1335d1e492c9e98302180ae064a", "c3c660b647a746268d260249f82d7cf0", "37d006ae46d24b72aae62191fbea8210", "73b9cf7d141f43e2a1f1d21640c302a9", "514f1bfbbf0f46e2a87f2ee5ccb78ffc", "29ebef7fa112480ebe9d295a4cf0de4e", "7ae6985759614a2ebaa04feb551bf8ce", "1c09230423e94671b4e698eab05cfe98", "42efb4050ad54645a5e2555aa3d048be", "aaab1f72731140a0bcef4bea72f66c4a", "039c93d6c78c4a1e80fdddf364c91e88", "83ebccfcc09e4a2d9d5d6c936729744a", "5d02da3f9bbf4e32ae4f8a8eaa4546af", "739e35993355405584e48c1adc08d17c", "e966ca7811ce4fd9925f15d7534b6f7e", "9e71451e73e14486987168ceb1160a3a", "6cb072e5be224f7596cfe0b309bcad87", "f434685f4c834394b1edfa8e1afeb35e", "cf1d9515b9ac4c72b3b3aa1c13d634e6", "78cc204d947e49fdba92d6aa67e68285", "3ddff905ce3848398e43c4c7767285c9", "e2f217cf6c7e4ed695edcb34a1fa0122", "d8fc23c7bcf345828e1f155f65f30984", "e952ce91d9bb4b2ab5f0e5a94d228933", "e30ed6b4873f41c486399273518a54f7", "00fc780a430e4bff8b259240bfe610fa", "3f0cdc9614704b6794a126b8f78e7ecd", "cacc19d434a5483396315c5c86c20942", "338421de00f34260b74c4696be0753e0", "b6697b9f7e454756a50dbb943154e62f", "947f4071f7234b2185438b0948d1a5df", "89f7a8cdb7d043f3bb546dd302adbc88", "683ade4d5b454c17a74a5d9845809e80", "ac9283e3ccf24ddd864e1ce0aed64e20", "7c72467a850f4ceb8817cb3fefa50cfa", "cabc4e3876514efa8f118881a9824a71", "afba945dbd714e8dbc8f3e4ed71e2444", "69e52233e3814dac8189e032b6374e8c", "fa557e020de0449f96661f6c28c8b104", "21c83c55da4a476cad4bbcc214d14095", "4b25021e81064798814ce757c12741af", "214896db8cc5439497064ee41f72693e", "31dcfedca1344dfc9b65d51d550a951f", "d836df31ceff462fb6f8d218e4d07915", "8e07ad43a5374847bd7f1e256afacbad", "270cc01be9e3468aa3cfd012de2dcea5" ] }, "outputId": "75daa4cd-7960-4917-9ad6-9a3379d83495" }, "execution_count": null, "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": [ "config.json: 0%| | 0.00/789 [00:00