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| } | |
| } | |
| } | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/avidale/dd74f81bbb7e3b57de474b5fb4ca4bd7/rut5-base-paraphraser-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "r1DDRy8n2IQ3" | |
| }, | |
| "source": [ | |
| "Этот блокнот - иллюстрация к статье \"[Перефразирование русских текстов: корпуса, модели, метрики](https://habr.com/ru/post/564916/)\". \n", | |
| "\n", | |
| "Как запустить его:\n", | |
| "1. Если вы открыли блокнот на Github, нажмите кнопку \"Open in Colab\" наверху.\n", | |
| "2. Перейдя в интерфейс [Colab](https://colab.research.google.com), приготовьте код к запуску:\n", | |
| " 1. В верхнем меню нажмите \"Среда выполнения\" и затем \"Выполнить всё\". \n", | |
| " 2. Авторизуйтесь в Google, если он этого требует. \n", | |
| "3. Перефразируйте!\n", | |
| " * В ячейке \"Парафразер\" (самой нижней) вы можете ввести любое предложение.\n", | |
| " * Для запуска ячейки нажмите Ctrl+Enter либо символ ► слева от неё. \n", | |
| " * После выполнения, под ячейкой появится перефразированный текст. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "CLtQ8B7wzcQ-" | |
| }, | |
| "source": [ | |
| "!pip install sentencepiece transformers" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "8YgQ9sIdzrBU" | |
| }, | |
| "source": [ | |
| "from transformers import T5ForConditionalGeneration, T5Tokenizer\n", | |
| "import torch" | |
| ], | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 176, | |
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| "source": [ | |
| "MODEL_NAME = 'cointegrated/rut5-base-paraphraser'\n", | |
| "model = T5ForConditionalGeneration.from_pretrained(MODEL_NAME)\n", | |
| "tokenizer = T5Tokenizer.from_pretrained(MODEL_NAME)\n", | |
| "if torch.cuda.is_available():\n", | |
| " model.cuda();" | |
| ], | |
| "execution_count": 4, | |
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| "output_type": "display_data", | |
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| "output_type": "display_data", | |
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| "output_type": "display_data", | |
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| { | |
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| "metadata": { | |
| "id": "C3sUL7adzzyV" | |
| }, | |
| "source": [ | |
| "model.eval();\n", | |
| "\n", | |
| "def paraphrase_base(text, beams=5, grams=4, do_sample=False):\n", | |
| " x = tokenizer(text, return_tensors='pt', padding=True).to(model.device)\n", | |
| " max_size = int(x.input_ids.shape[1] * 1.5 + 10)\n", | |
| " out = model.generate(**x, encoder_no_repeat_ngram_size=grams, do_sample=do_sample, num_beams=beams, max_length=max_size, no_repeat_ngram_size=4,)\n", | |
| " return tokenizer.decode(out[0], skip_special_tokens=True)" | |
| ], | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "Y6R3evCr0ICs" | |
| }, | |
| "source": [ | |
| "Чтобы перефразировать текст, просто выполните ячейку ниже" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 89 | |
| }, | |
| "id": "brm4AYfVzRkn", | |
| "outputId": "bebe0bfd-97ed-401c-cd2b-c98c4ac8a585" | |
| }, | |
| "source": [ | |
| "#@title Парафразер { run: \"auto\", form-width: \"50%\", display-mode: \"form\" }\n", | |
| "text = 'Каждый охотник желает знать, где сидит фазан' #@param {type:\"string\"}\n", | |
| "beams = 3 #@param {type:\"slider\", min:1, max:10, step:1}\n", | |
| "grams = 4 #@param {type:\"slider\", min:1, max:10, step:1}\n", | |
| "randomize = True #@param {type:\"boolean\"}\n", | |
| "\n", | |
| "paraphrase_base(text, beams=beams, grams=grams, do_sample=randomize)" | |
| ], | |
| "execution_count": 12, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "/usr/local/lib/python3.7/dist-packages/transformers/generation_utils.py:2259: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", | |
| " next_indices = next_tokens // vocab_size\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "application/vnd.google.colaboratory.intrinsic+json": { | |
| "type": "string" | |
| }, | |
| "text/plain": [ | |
| "'Все охотники хотят знать где обитает фазан'" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 12 | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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