{"id":25377,"date":"2024-10-26T09:54:34","date_gmt":"2024-10-26T09:54:34","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25377"},"modified":"2024-11-26T08:01:59","modified_gmt":"2024-11-26T08:01:59","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%86%a0%ed%81%ac%eb%82%98%ec%9d%b4","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25377\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud5c8\uae45\ud398\uc774\uc2a4 \ud1a0\ud06c\ub098\uc774\uc800(Huggingface Tokenizer)"},"content":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP, Natural Language Processing)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\ub85c, \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ud06c\uac8c \ubc1c\uc804\ud588\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\uc5ec, Hugging Face\uc758 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. <\/p>\n<h2>1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uad00\uacc4<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ud14d\uc2a4\ud2b8\uc758 \uc774\ud574, \uc0dd\uc131, \ubcc0\ud658 \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \ud3ec\ud568\ud558\uba70, \ub525 \ub7ec\ub2dd\uc740 \uc774\ub7ec\ud55c \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ub370 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer) \uc544\ud0a4\ud14d\ucc98\uc758 \ucd9c\ud604\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud328\ub7ec\ub2e4\uc784\uc744 \ud06c\uac8c \ubcc0\ud654\uc2dc\ucf30\uc2b5\ub2c8\ub2e4. BERT, GPT\uc640 \uac19\uc740 \ubaa8\ub378\ub4e4\uc774 \uadf8 \uc608\uc785\ub2c8\ub2e4.<\/p>\n<h2>2. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc8fc\uc694 \uae30\uc220\ub4e4<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc8fc\uc694 \uae30\uc220\ub4e4\uc774 \ud65c\uc6a9\ub429\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ud14d\uc2a4\ud2b8 \uc804\ucc98\ub9ac:<\/strong> \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc815\uc81c\ud558\uc5ec \ubaa8\ub378 \ud559\uc2b5\uc5d0 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ud1a0\ud070\ud654(tokenization), \uc815\uaddc\ud654(normalization), \ubd88\uc6a9\uc5b4 \uc81c\uac70(stop-word removal) \ub4f1\uc758 \uae30\ubc95\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\uc784\ubca0\ub529(Embedding):<\/strong> \ub2e8\uc5b4\ub098 \ubb38\uc7a5\uc744 \uace0\ucc28\uc6d0 \uacf5\uac04\uc73c\ub85c \ubcc0\ud658\ud558\uc5ec \uc758\ubbf8\ub97c \ubca1\ud130 \ud615\ud0dc\ub85c \ud45c\ud604\ud569\ub2c8\ub2e4. \uc774\ub294 \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc774 \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/li>\n<li><strong>\ubaa8\ub378 \ud559\uc2b5:<\/strong> \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc804\ucc98\ub9ac\ub41c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc190\uc2e4 \ud568\uc218(loss function)\ub97c \ucd5c\uc18c\ud654\ud558\ub294 \ubc29\ud5a5\uc73c\ub85c \ud30c\ub77c\ubbf8\ud130\ub97c \uc870\uc815\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ubaa8\ub378 \ud3c9\uac00:<\/strong> \ud559\uc2b5\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ub2e4\uc591\ud55c \uc9c0\ud45c(\uc815\ud655\ub3c4, F1 \uc2a4\ucf54\uc5b4 \ub4f1)\ub97c \ud1b5\ud574 \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>3. \ud5c8\uae45\ud398\uc774\uc2a4\uc640 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac<\/h2>\n<p>\ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\ub294 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uacfc \ub370\uc774\ud130\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ud65c\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub2e4\uc591\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uadf8\uc911 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\ub85c, \uc0ac\uc804 \ud559\uc2b5(pre-trained)\ub41c \ub2e4\uc591\ud55c \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1. Hugging Face Tokenizer\ub780?<\/h3>\n<p>Hugging Face Tokenizer\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud1a0\ud070\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \uc774 \ub3c4\uad6c\ub294 \ud14d\uc2a4\ud2b8\ub97c \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud558\ub294 \ub370 \ud544\uc694\ud55c \ud1a0\ud070\ud654 \uacfc\uc815\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \uc218\ud589\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc5d0 \uc785\ub825\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ub370\uc774\ud130\ub97c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>4. Hugging Face Tokenizer \uc0ac\uc6a9 \ubc29\ubc95<\/h2>\n<p>\uc774\uc81c Hugging Face Tokenizer\ub97c \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\ub294 Hugging Face Tokenizer\ub97c \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc124\uba85\uc785\ub2c8\ub2e4.<\/p>\n<h3>4.1. \ud658\uacbd \uc124\uc815<\/h3>\n<p>\uba3c\uc800, Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<pre><code>pip install transformers<\/code><\/pre>\n<h3>4.2. \uae30\ubcf8 \ud1a0\ud06c\ub098\uc774\uc800 \uc0ac\uc6a9\ud558\uae30<\/h3>\n<p>\uc608\ub97c \ub4e4\uc5b4, BERT \ubaa8\ub378\uc5d0 \uc0ac\uc6a9\ud560 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0dd\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>from transformers import BertTokenizer\ntokenizer = BertTokenizer.from_pretrained('bert-base-uncased')<\/code><\/pre>\n<h3>4.3. \ud1a0\ud070\ud654<\/h3>\n<p>\uc774\uc81c \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud1a0\ud070\ud654\ub294 \uc8fc\uc5b4\uc9c4 \ubb38\uc7a5\uc744 \ub2e8\uc5b4 \ud639\uc740 \uc11c\ube0c\uc6cc\ub4dc \ub2e8\uc704\ub85c \ubd84\ub9ac\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>text = \"Hugging Face is creating a tool that democratizes AI.\"\ntokens = tokenizer.tokenize(text)<\/code><\/pre>\n<h3>4.4. \uc778\ub371\uc2a4 \ubcc0\ud658<\/h3>\n<p>\ud1a0\ud070\ud654\ub41c \uacb0\uacfc\ub97c \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \uc778\ub371\uc2a4\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>token_ids = tokenizer.convert_tokens_to_ids(tokens)<\/code><\/pre>\n<h3>4.5. \ud328\ub529\uacfc \ud2b8\ub801\ucf00\uc774\ud305<\/h3>\n<p>\ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30 \uc704\ud574\uc11c\ub294 \uac19\uc740 \uae38\uc774\uc758 \ud150\uc11c \ud615\ud0dc\ub85c \ub9cc\ub4e4\uc5b4\uc57c \ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ud328\ub529\uacfc \ud2b8\ub801\ucf00\uc774\ud305\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>inputs = tokenizer(text, padding='max_length', truncation=True, return_tensors=\"pt\")<\/code><\/pre>\n<h3>4.6. \ud1a0\ud070\ud654 \uacfc\uc815 \uc694\uc57d<\/h3>\n<p>\uc704\uc758 \uacfc\uc815\ub4e4\uc744 \ud1b5\ud574 \uc6b0\ub9ac\ub294 \uc6d0\uc2dc \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Hugging Face Tokenizer\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \ubaa8\ub4e0 \uacfc\uc815\uc774 \uac04\ub2e8\ud558\uac8c \uc774\ub8e8\uc5b4\uc9d1\ub2c8\ub2e4.<\/p>\n<h2>5. \uc2e4\uc2b5: Hugging Face Tokenizer\ub85c \uac10\uc815 \ubd84\uc11d\ud558\uae30<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uad6c\uccb4\uc801\uc778 \uc608\ub97c \ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Hugging Face Tokenizer\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac10\uc815 \ubd84\uc11d \ubaa8\ub378\uc744 \uad6c\ucd95\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>5.1. \ub370\uc774\ud130 \uc14b \ud0d0\uc0c9<\/h3>\n<p>\uba3c\uc800, \uac10\uc815 \ubd84\uc11d\uc5d0 \uc0ac\uc6a9\ud560 \ub370\uc774\ud130\uc14b\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, IMDB \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ub370\uc774\ud130\uc14b\uc740 \uac01 \ub9ac\ubdf0\uac00 \uae0d\uc815\uc801\uc778\uc9c0 \ubd80\uc815\uc801\uc778\uc9c0\ub97c \ub098\ud0c0\ub0b4\ub294 \ub808\uc774\ube14\uc744 \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>5.2. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n<p>Hugging Face Tokenizer\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \ub9ac\ubdf0\ub97c \ud1a0\ud070\ud654\ud558\uace0 \uc778\ub371\uc2a4\ub97c \uc0dd\uc131\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\uc804\uc5d0 \uc124\uba85\ud55c \ubc29\ubc95\ub300\ub85c \uc9c4\ud589\ud558\uba74 \ub429\ub2c8\ub2e4.<\/p>\n<h3>5.3. \ubaa8\ub378 \uad6c\ucd95<\/h3>\n<p>\ud1a0\ud070\ud654\ub41c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 PyTorch\ub098 TensorFlow\uc640 \uac19\uc740 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>from transformers import BertForSequenceClassification\nmodel = BertForSequenceClassification.from_pretrained('bert-base-uncased')<\/code><\/pre>\n<h3>5.4. \ubaa8\ub378 \ud6c8\ub828<\/h3>\n<p>\ud6c8\ub828 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c\ub294 \ucd5c\uc801\uc758 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc124\uc815\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>from transformers import Trainer, TrainingArguments\ntraining_args = TrainingArguments(\n    output_dir='.\/results',\n    num_train_epochs=4,\n    per_device_train_batch_size=16,\n    per_device_eval_batch_size=64,\n    warmup_steps=500,\n    weight_decay=0.01,\n    logging_dir='.\/logs',\n)\ntrainer = Trainer(\n    model=model,\n    args=training_args,\n    train_dataset=train_dataset,\n    eval_dataset=eval_dataset,\n)\ntrainer.train()<\/code><\/pre>\n<h3>5.5. \ubaa8\ub378 \ud3c9\uac00<\/h3>\n<p>\ud559\uc2b5\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc131\ub2a5 \uc9c0\ud45c(\uc815\ud655\ub3c4 \ub4f1)\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>predictions = trainer.predict(test_dataset)\nprint(predictions)<\/code><\/pre>\n<h2>6. \uacb0\ub860<\/h2>\n<p>\ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc740 Hugging Face\uc640 \uac19\uc740 \ub3c4\uad6c \ub355\ubd84\uc5d0 \ub354\uc6b1 \ubc1c\uc804\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. Hugging Face Tokenizer\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac04\uc18c\ud654\ud558\uc5ec \uac1c\ubc1c\uc790\ub4e4\uc774 \ub354 \uc27d\uac8c NLP \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \uc55e\uc73c\ub85c\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc774 \ub354\uc6b1 \ubc1c\uc804\ud560 \uac83\uc73c\ub85c \uae30\ub300\ud569\ub2c8\ub2e4.<\/p>\n<h2>7. \ucc38\uace0\uc790\ub8cc<\/h2>\n<ul>\n<li><a href=\"https:\/\/huggingface.co\/transformers\/\">Hugging Face Transformers \ubb38\uc11c<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1810.04805\">BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/text\/guide\/subword_text_encoder\">TensorFlow Subword Text Encoder<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP, Natural Language Processing)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\ub85c, \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ud06c\uac8c \ubc1c\uc804\ud588\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\uc5ec, Hugging Face\uc758 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uad00\uacc4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ud14d\uc2a4\ud2b8\uc758 \uc774\ud574, \uc0dd\uc131, \ubcc0\ud658 \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \ud3ec\ud568\ud558\uba70, \ub525 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25377\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud5c8\uae45\ud398\uc774\uc2a4 \ud1a0\ud06c\ub098\uc774\uc800(Huggingface Tokenizer)&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25377","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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