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"<a href=\"https://colab.research.google.com/gist/hnishi/cedfe3e4120aa18be52d9412cbfd2aec/20210328-gpt2-small-ja.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "lFJKiqviKGhC" | |
}, | |
"source": [ | |
"## 参考\n", | |
"\n", | |
"- https://huggingface.co/colorfulscoop/gpt2-small-ja\n", | |
"- https://huggingface.co/transformers/task_summary.html\n", | |
"- https://huggingface.co/transformers/internal/generation_utils.html" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "m-RpgSP7KOD7", | |
"outputId": "09082d4f-dded-4c0c-d47e-b5dc43c0bbbc" | |
}, | |
"source": [ | |
"!pip install -q transformers==4.3.3 torch==1.8.0 sentencepiece==0.1.91" | |
], | |
"execution_count": 1, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\u001b[K |████████████████████████████████| 1.9MB 5.3MB/s \n", | |
"\u001b[K |████████████████████████████████| 735.5MB 21kB/s \n", | |
"\u001b[K |████████████████████████████████| 1.1MB 52.1MB/s \n", | |
"\u001b[K |████████████████████████████████| 3.2MB 35.1MB/s \n", | |
"\u001b[K |████████████████████████████████| 890kB 51.9MB/s \n", | |
"\u001b[?25h Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n", | |
"\u001b[31mERROR: torchvision 0.9.1+cu101 has requirement torch==1.8.1, but you'll have torch 1.8.0 which is incompatible.\u001b[0m\n", | |
"\u001b[31mERROR: torchtext 0.9.1 has requirement torch==1.8.1, but you'll have torch 1.8.0 which is incompatible.\u001b[0m\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "KAyGFHj4Khl4" | |
}, | |
"source": [ | |
"import transformers" | |
], | |
"execution_count": 2, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 262, | |
"referenced_widgets": [ | |
"354f1b89929440c9a944b6ab107ffd0d", | |
"386aa8036fae4d9784102f92d0fb3540", | |
"9e0594ec3280446e90a73bbf05c368b0", | |
"d1f71c61f46c43ff8b22cc03badef169", | |
"819f5269dc0b46b18da8ef542091baca", | |
"9d83e039ec994b20b454da6ba993090a", | |
"8e64151d118d494d9d44279ae631010b", | |
"08d8d6352bdd4a1c88c241e0f19da6b7", | |
"f56fe4a2154d47248042e2accf1a063b", | |
"8752d591e4794f1f974d0ba025a3023b", | |
"2c2a72d690464b90a530cba760cd59f1", | |
"9e0746fe653e4ccbb3047fb635e0cfd1", | |
"b5b7e587b1bc47b3aae7f9632a8ccbc9", | |
"8c639f3b1bc34bbb83bdfeed367660b2", | |
"7eb72ed9b525444b9c7bf8fe68bf6740", | |
"08cabbca72334a98b218630ac12d2ae8", | |
"1eea81ee3d8b497dae021a3f24d922c5", | |
"a9065d4a5c7c4647b4b8a70150eb70ac", | |
"37b35f9fa0234ff68c6b53843c997018", | |
"0b9d9f4e8def447c995a6ed168779e90", | |
"2de86f8315ec4956a068a9368122aba2", | |
"ed158d308fdd4ec7bbdf870bf50d0ae7", | |
"c1c60e96163945f5a61664da5abf9c25", | |
"8b82adab51b84fc69b9e35acce4ab4ff", | |
"ab7949fd64b94302a1b2c50f2c5575d9", | |
"0a95c841d5034c71a2e4892549a59034", | |
"115225b4e46d45fcaa9e8bad9143f832", | |
"b3253728f3604ae1976109e8e2354c37", | |
"6c5677fb329f4464b98bbee0bd33e7e0", | |
"9d4184e42cc04b7ba6ae29ebc314c7f4", | |
"e9064754dec54bdd813bd0b2263a0aca", | |
"9b895e0798b940e98574efb4430936e7", | |
"c9e86ec6bb9a423c96df590fea8cf88e", | |
"0c1d37ff1e644799af45f609383c5d68", | |
"1f2a141eb8a14dd6a0e97213006fc732", | |
"1446e2a8e8954279b7b9cc90d8b44749", | |
"9e5877994b6f4946a4f0094d01552106", | |
"e00f574689764e5ca21491a5bc25571f", | |
"7e585a0ded86443aaf9140e7383e9d01", | |
"e22856152f6c473fa3116f3d9fcbf6f4" | |
] | |
}, | |
"id": "6f57w_r3KrNG", | |
"outputId": "55c43b50-8d40-45f8-d2f3-b9fadbfd9704" | |
}, | |
"source": [ | |
"tokenizer = transformers.AutoTokenizer.from_pretrained(\"colorfulscoop/gpt2-small-ja\")\n", | |
"model = transformers.AutoModelForCausalLM.from_pretrained(\"colorfulscoop/gpt2-small-ja\")" | |
], | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "354f1b89929440c9a944b6ab107ffd0d", | |
"version_minor": 0, | |
"version_major": 2 | |
}, | |
"text/plain": [ | |
"HBox(children=(FloatProgress(value=0.0, description='Downloading', max=876.0, style=ProgressStyle(description_…" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
} | |
}, | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\n" | |
], | |
"name": "stdout" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "f56fe4a2154d47248042e2accf1a063b", | |
"version_minor": 0, | |
"version_major": 2 | |
}, | |
"text/plain": [ | |
"HBox(children=(FloatProgress(value=0.0, description='Downloading', max=802167.0, style=ProgressStyle(descripti…" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
} | |
}, | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\n" | |
], | |
"name": "stdout" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "1eea81ee3d8b497dae021a3f24d922c5", | |
"version_minor": 0, | |
"version_major": 2 | |
}, | |
"text/plain": [ | |
"HBox(children=(FloatProgress(value=0.0, description='Downloading', max=129.0, style=ProgressStyle(description_…" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
} | |
}, | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\n" | |
], | |
"name": "stdout" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "ab7949fd64b94302a1b2c50f2c5575d9", | |
"version_minor": 0, | |
"version_major": 2 | |
}, | |
"text/plain": [ | |
"HBox(children=(FloatProgress(value=0.0, description='Downloading', max=129.0, style=ProgressStyle(description_…" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
} | |
}, | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\n" | |
], | |
"name": "stdout" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "c9e86ec6bb9a423c96df590fea8cf88e", | |
"version_minor": 0, | |
"version_major": 2 | |
}, | |
"text/plain": [ | |
"HBox(children=(FloatProgress(value=0.0, description='Downloading', max=454320379.0, style=ProgressStyle(descri…" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
} | |
}, | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "jbZr3nAoKvC2", | |
"outputId": "40bb2dac-81b0-4339-fe32-0669b9e73cd0" | |
}, | |
"source": [ | |
"input = tokenizer.encode(\"近年の機械学習は\", return_tensors=\"pt\")\n", | |
"output = model.generate(input, do_sample=True, top_p=0.95, top_k=50, num_return_sequences=3)\n", | |
"tokenizer.batch_decode(output)" | |
], | |
"execution_count": 4, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"['近年の機械学習は、時間と記憶とが時間でどのように繋がっているかを特定する。つまり',\n", | |
" '近年の機械学習は、より困難で、多くの言語が話される言語のより大きな割合が',\n", | |
" '近年の機械学習は、新しい分野や社会や環境の問題に取り組む上で不可欠な課題となったのである']" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
}, | |
"execution_count": 4 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "6Rhg1ts4K077", | |
"outputId": "c488753c-d301-4b5f-b769-ace964be1446" | |
}, | |
"source": [ | |
"input = tokenizer.encode(\"今日は暑い\", return_tensors=\"pt\")\n", | |
"output = model.generate(input, do_sample=True, top_p=0.95, top_k=50, num_return_sequences=3, max_length=60)\n", | |
"tokenizer.batch_decode(output)" | |
], | |
"execution_count": 5, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"['今日は暑い日でもよくなるが、その少しだけ蒸されてしまいやすい。もし、氷点下に溶けているなら、少しの蒸し熱が氷点下に溶けているように感じるだろうし、溶ける量は氷点下に溶けているようなよりは良いことである。氷点下',\n", | |
" '今日は暑い。」と語った。2011年3月23日に、共和党の院内総務であるジョージ・W・ブッシュは、ワシントン・タイムズの外交政策に関するコメントで、同州での民主党の勢力がさらに増加したのが、ジョージ・W・ブッシュ政権とブッシュ政権の間の党派間の緊張',\n", | |
" '今日は暑い。夏は暑く湿気があり、冬はとても寒い。この夏の日差しは、昼霧から夜霧までさらに広い。この嵐の日は、約7日続き、1日に40日も継続している。夜霧から夜霧までには']" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
}, | |
"execution_count": 5 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "LyEmd7_PK5bJ" | |
}, | |
"source": [ | |
"text_generator = transformers.pipeline('text-generation', model=model, tokenizer=tokenizer)" | |
], | |
"execution_count": 6, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "bxAjmcJNLP7f", | |
"outputId": "254f4329-fbb2-415f-cb32-5c8a75262050" | |
}, | |
"source": [ | |
"generated_text = text_generator(\"ガンダム\", max_length=50)\n", | |
"generated_text" | |
], | |
"execution_count": 7, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"[{'generated_text': 'ガンダム・ウォーズ・オペレーション』では、同作の登場人物であるキャトリン・スタークが本作に登場する。声優はPC版 / PS2版の順に表記。このゲームに登場するゲームは、すべて本作のゲームシステムを基としたものとなっている。声優はPS'}]" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
}, | |
"execution_count": 7 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "GdovbQFiMgLi", | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"outputId": "b2697636-b429-4669-a3a1-3055c6efa1c9" | |
}, | |
"source": [ | |
"prompt = \"姫路城の歴史\"\n", | |
"\n", | |
"print(text_generator(prompt, max_length=100)[0]['generated_text'])" | |
], | |
"execution_count": 15, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"姫路城の歴史に絡む物語であると『信長公記』に記されているが、『信長公記』の伝承とは関係のない物語とされている。『山椒大夫』が書かれた当時、山椒は越前国に在住しており、織田信長が京都の山科屋敷から京都に出てきたとき、山椒は信長に同行した。信長が伊勢の山科家に滞在していた時期(永禄10年(1567年))には、伊勢山科家の当主の織田信忠が織田\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "Nl4_maG30mpZ" | |
}, | |
"source": [ | |
"" | |
], | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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