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"min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e4ec996aeea047e6ae24cc7d20eb61e8": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "markdown", "source": [ "# Lab 3\n" ], "metadata": { "id": "7bjZUfZY-_AJ" } }, { "cell_type": "code", "source": [ "!pip install transformers" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "CL3AGJGHA6Cn", "outputId": "e2acdb3d-d100-440a-f8b9-21c6c4962c11" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Collecting transformers\n", " Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)\n", "\u001b[K |████████████████████████████████| 5.8 MB 8.1 MB/s \n", "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) (4.64.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (1.21.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers) (2.23.0)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers) (3.8.0)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from transformers) (21.3)\n", "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n", " Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n", "\u001b[K |████████████████████████████████| 7.6 MB 54.0 MB/s \n", "\u001b[?25hCollecting huggingface-hub<1.0,>=0.10.0\n", " Downloading huggingface_hub-0.11.1-py3-none-any.whl (182 kB)\n", "\u001b[K |████████████████████████████████| 182 kB 57.8 MB/s \n", "\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.10.0->transformers) (4.4.0)\n", "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging>=20.0->transformers) (3.0.9)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2022.9.24)\n", "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2.10)\n", "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (3.0.4)\n", "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (1.24.3)\n", "Installing collected packages: tokenizers, huggingface-hub, transformers\n", "Successfully installed huggingface-hub-0.11.1 tokenizers-0.13.2 transformers-4.25.1\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Zadanie 1\n", "Wygeneruj dowolny tekst z wykorzystaniem modelu Longformer." ], "metadata": { "id": "EE9kFb3cA_0K" } }, { "cell_type": "code", "source": [ "from transformers import LongformerTokenizer, EncoderDecoderModel\n", "\n", "model = EncoderDecoderModel.from_pretrained(\"patrickvonplaten/longformer2roberta-cnn_dailymail-fp16\")\n", "tokenizer = LongformerTokenizer.from_pretrained(\"allenai/longformer-base-4096\") " ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265, "referenced_widgets": [ "45d67115e8914f27ae73d4783b7abe27", "52f28c5e74ec4bc196e4104025c067c6", "f986587932fe4fd4beb6e998dd0d7e39", "378181b8d31b4275ac68206ef9789395", "180ba76504294fa3bea54f3d9c673c38", "9c22be43e9e04fec9ffb73bf63879989", "16c8170028064f2cb396de05ebd040f6", "101f87b3b9ba41239e52c623661be88b", "90574c5849d24dcf87751534b88a34ce", "d2bc05302ecf4f5da5c0930c77444509", "c9c05141ccc4458b8a916dfac4994819", "61b82e217ac447298352890fb99e751d", "6e0bb37e894b472c8fd2641e2abb4880", "f27a6396fe3645858ce39181c1933e55", "0f092a7813d0418c9f7e46d4e68db1aa", "e3d13b8d7e4f475dbaa398daefad47e4", "bf2a186212d54e8fada949ee316042fb", "d6be08d36993492c96c986e2963f8149", "c5ed3dfc299f4ba7b4c5e1e13abf4f8a", "f3cc2400d8654f5da723fb334ede6a9d", "f3066862fae840ff9ee79d427df52529", "eef0b478c973473abe086b2cabb9556e", "07ae15ac93fa44aa81550bfa35623484", "4e54123719fc47a49a2db9b93527bb4a", "e759f48800664bd0bf999beb7a33baf0", "fdfcb5478bd24fd692baa73f95d028ec", "2ee81d7a62c64b9291437f621fd61a39", "5ee34f68fe414c8585f93d609c97261f", "7a36db99053b4579bc0b1fa07a0cc201", "9fbd61af31fb4425b7f2322bfc7abe4d", "c2dfc0d0a9da40a39ac5c6b9b7cccfbc", "a05e10eeee404c5bac0ccf0280e60831", "44774c4e3a834f6caec2475f33f45597", "177ba31340534bc287af72e3cb2caf4e", "97321eec863a49fb8f323cd6f692506a", "1f74c684ccef41f28017d6ecb0500488", "d133e25ed1544293b4c9ce815a609f65", "3acc254d6ee14b97822b22559469ead0", "63f6c8771e30490783db1fded7e09df8", "4e084eb31a70412dadee6fd81a976e6a", "1bdff32567d241da8f7a54b7104c7d06", "f7827471c4f14069a7d3e8ea019055fc", "10a120e293fd4e0fac7df6100a29a885", "273ac2472adb4f8b9c1b1a7b39db4e39", "c5c5a9c872ae4e0c823ed6bc72944b23", "73dfcb29f4854498af21254771d95e13", "a67540fa65f2492e8213080608c48af4", "2d78fc05f81d43aeb437bfc455be6d45", "88a8782021e845b58b9aeee789e4af6d", "c8b9bb772cd6481c8fff58183e1e1239", "8860eedb38dd4840bdd2e153f9924455", "8c9faa148acc40cf9c43f6a1c3eaea2f", "9b446c0995de4f2693d97df5783d22ee", "580c0ad98bd74da2baf0d36bbab5b74e", "7ba1565cf2294d1984ac61a860bde2be" ] }, "id": "iq0UO3egCQlS", "outputId": "d316ea1c-1cb5-486b-d7b7-70de9cee2c9a" }, "execution_count": 6, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading: 0%| | 0.00/3.52k [00:00\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Zadanie 3\n", "Spróbuj wygenerować konwersację/dialog." ], "metadata": { "id": "rSM9qm6ODGIh" } }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 145, "referenced_widgets": [ "edba1016f5514c6b94e8b2452beee82e", "e671efcba2534dc1854ca96adc4d80f5", "e0b8e2b387954e5db57260cab035075b", "baa80f77010b4a70b4f4a2590bf152cb", "789316ee04f842b988eeaf1a82518e4f", "29493d894fb14a3c8ea89cdc37bbdc00", "a37ded6dc0374e8aa27ba6fd5939472b", "4b72f1ddde6f49eca0f7e8673e29f9dc", "c79c65e447944495a6e7723e1e699d56", "cd73ff116e6140b8ae8d4cdd386528e0", "805c735f2e41482e84e77494b161843d", "757d72e3c7a646e48a89e729f5bf1cf9", "d6acd604b71240048d87611f9cf06eaf", "c114d065b0f5439c89ecf0812ab37648", "80618c46d8fe4128aeee0ca666799775", "fcb6d64a69a34af19a1632b216e55944", "0ad225ef757d4620acf948ee710fa3d8", "412ef354ba3f41788eb1f168ecd84418", "afcfb6c036e340738232ed6c53d7376b", "8a641e018dee4ad59c616a4324424b30", "f7055ba3d5f74be5b2a8541074e4147b", "cc99ba8a380442ae94e4bee6fd33614b", "6a6b3f2fbf4f499799187a18fe4b5609", "c59878a1967947a09a1cfd75d2f75376", "02679d643d4d4c5488850422a022538d", "6772411d1cc3482ab96faa76ae81fbdb", "a909cda7388648de9bc4d21d91af07dd", "9f3ee7be6b4345a18841af057447de03", "9310cef5b0494e61a4820c92537887ce", "c89d60d0469749e4be188ecdd484166a", "178fea77936646efa6df6ceeb1a22e21", "84f82d31b7c940189bc2b03beb9c5c92", "f9cb0d1feb1d4e4c8d8db93bdb9a68fb", "e06c3ce394854a83aa6849d980292339", "ea44b3ddc0904457b156917578500f3e", "fdd38bbbe7254bc8bb6f26d3fce5b422", "7ca2ff1907c54caa8ca528be37848eea", "cc3e8243e6114f6da373c9f6f5d3545b", "9e1aedfb7aad4d3d80168389d9ea3fdd", "d3602f19d83444e1b65c04142f0e3495", "2fdbce8e36914daa9d475aa587610cd1", "a48b79d35d7c4884831b4b63ecd85df6", "f149e445e5ff4ebda39739804aa2e4e6", "e4ec996aeea047e6ae24cc7d20eb61e8" ] }, "id": "bzOOkbqL-65w", "outputId": "f30ae880-6332-4d4e-9cb4-a63e4c1d4588" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading: 0%| | 0.00/1.04M [00:00\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Zadanie 4\n", "Spróbuj wygenerować dowolny news (wiadomość, opowiadanie)." ], "metadata": { "id": "WRvIWSLrDPhF" } }, { "cell_type": "code", "source": [ "text = \"Travel chaos across UK as snow causes closure and delays.\"\n", "\n", "tokenized = tokenizer.tokenize(text)\n", "encoded_input = tokenizer(text, return_tensors='pt')\n", "\n", "result = model_head.generate(**encoded_input, max_length=200, num_beams=5, no_repeat_ngram_size=2, early_stopping=True)\n", "result_decode = tokenizer.decode(result.tolist()[0])\n", "print(result_decode)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_2FWXO35EZ6m", "outputId": "aaf7f850-f0db-4027-b9ae-277a7f6d9d27" }, "execution_count": 12, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Travel chaos across UK as snow causes closure and delays.\n", "\n", "More than 1,000 people have been forced to flee their homes in the capital, London, as the National Weather Service (NWS) warned of a \"dangerous storm surge\" in parts of the north-east and south-west of England and Wales.\n", "\n", "\n", "The NWS said: \"This is the worst storm to hit the UK in more than a decade, with winds of up to 40mph (60km/h) and gusts in excess of 100mph. Storm surge is expected to continue through the night and into the early hours of Monday morning. The National Meteorological Service is urging people to stay away from areas with high winds and heavy rain.\"<|endoftext|>\n" ] } ] } ] }