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Last active March 11, 2024 13:18
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rut5-base-paraphraser-demo.ipynb
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{
"cell_type": "markdown",
"metadata": {
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},
"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>"
]
},
{
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"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,
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},
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"model = T5ForConditionalGeneration.from_pretrained(MODEL_NAME)\n",
"tokenizer = T5Tokenizer.from_pretrained(MODEL_NAME)\n",
"if torch.cuda.is_available():\n",
" model.cuda();"
],
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{
"cell_type": "code",
"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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