\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29628\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec Mobile BERT \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\ub97c \ub9cc\ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Mobile BERT\ub294 BERT \ubaa8\ub378\uc744 \uacbd\ub7c9\ud654\ud558\uc5ec \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529, \uc9c8\uc758 \uc751\ub2f5, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4. 1. \uc900\ube44\uc0ac\ud56d \uc774 \uac15\uc88c\ub97c \uc9c4\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud658\uacbd\uacfc \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4: Python 3.6 \uc774\uc0c1 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac torch … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29628\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:48+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:01+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\",\"datePublished\":\"2024-10-28T01:55:48+00:00\",\"dateModified\":\"2024-11-26T06:52:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\"},\"wordCount\":59,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29628\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - 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Mobile BERT\ub294 BERT \ubaa8\ub378\uc744 \uacbd\ub7c9\ud654\ud558\uc5ec \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529, \uc9c8\uc758 \uc751\ub2f5, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4. 1. \uc900\ube44\uc0ac\ud56d \uc774 \uac15\uc88c\ub97c \uc9c4\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud658\uacbd\uacfc \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4: Python 3.6 \uc774\uc0c1 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac torch … \ub354 \ubcf4\uae30 \"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\"","og_url":"https:\/\/atmokpo.com\/w\/29628\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-28T01:55:48+00:00","article_modified_time":"2024-11-26T06:52:01+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"1\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/29628\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/29628\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988","datePublished":"2024-10-28T01:55:48+00:00","dateModified":"2024-11-26T06:52:01+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/29628\/"},"wordCount":59,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/29628\/","url":"https:\/\/atmokpo.com\/w\/29628\/","name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-28T01:55:48+00:00","dateModified":"2024-11-26T06:52:01+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/29628\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/29628\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/29628\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=29628"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29628\/revisions"}],"predecessor-version":[{"id":29629,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29628\/revisions\/29629"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=29628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=29628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=29628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":29628,"date":"2024-10-28T01:55:48","date_gmt":"2024-10-28T01:55:48","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29628"},"modified":"2024-11-26T06:52:01","modified_gmt":"2024-11-26T06:52:01","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-mobile-bert-%eb%b9%88%ec%b9%b8-%ec%b1%84%ec%9a%b0%ea%b8%b0-%ed%80%b4","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29628\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988"},"content":{"rendered":"

<\/p>\n

\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)<\/strong>\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers)<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec Mobile BERT<\/strong> \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\ub97c \ub9cc\ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Mobile BERT\ub294 BERT \ubaa8\ub378\uc744 \uacbd\ub7c9\ud654\ud558\uc5ec \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529, \uc9c8\uc758 \uc751\ub2f5, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n

1. \uc900\ube44\uc0ac\ud56d<\/h2>\n
\uc774 \uac15\uc88c\ub97c \uc9c4\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud658\uacbd\uacfc \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
Python 3.6 \uc774\uc0c1<\/li>\n
Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac<\/li>\n
torch \ub77c\uc774\ube0c\ub7ec\ub9ac<\/li>\n
pandas (\uc120\ud0dd \uc0ac\ud56d, \ub370\uc774\ud130\ud504\ub808\uc784\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574)<\/li>\n<\/ul>\n
2. \ud658\uacbd \uc124\uc815<\/h2>\n
!pip install transformers torch pandas<\/code><\/pre>\n3. Mobile BERT \ubaa8\ub378 \uc18c\uac1c<\/h2>\nMobile BERT\ub294 Google\uc5d0\uc11c \uac1c\ubc1c\ud55c BERT(Base Bidirectional Encoder Representations from Transformers)\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \uacbd\ub7c9\ud654\ub41c \ubcc0\ud615 \ubaa8\ub378\uc785\ub2c8\ub2e4. Mobile BERT\ub294 BERT\uc640 \ub3d9\uc77c\ud55c \uc544\ud0a4\ud14d\ucc98\ub97c \ud65c\uc6a9\ud558\uc9c0\ub9cc, \ubaa8\ub378 \ud06c\uae30\ub97c \uc904\uc774\uace0 \uc218\ud589 \uc18d\ub3c4\ub97c \ub192\uc774\uae30 \uc704\ud574 \uba87 \uac00\uc9c0 \uae30\uc220\uc801\uc778 \uc870\uc815\uc744 \uac70\ucce4\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ubaa8\ubc14\uc77c \ubc0f \uc5e3\uc9c0 \ub514\ubc14\uc774\uc2a4\uc5d0\uc11c\ub3c4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc9c0\uc6d0\ud560 \uc218 \uc788\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n 4. \ub370\uc774\ud130 \uc900\ube44<\/h2>\n\uc774\ubc88 \uc608\uc81c\uc5d0\uc11c\ub294 \ube48\uce78 \ucc44\uc6b0\uae30 \ubb38\uc81c\ub97c \uad6c\uc131\ud558\uae30 \uc704\ud574 \ud14d\uc2a4\ud2b8 \uc0d8\ud50c\uc744 \uc900\ube44\ud569\ub2c8\ub2e4. \uc0d8\ud50c \ud14d\uc2a4\ud2b8\uc5d0\ub294 \ud2b9\uc815 \ub2e8\uc5b4\uac00 \ube48\uce78\uc73c\ub85c \ud45c\uc2dc\ub418\uba70, \uc6b0\ub9ac\uc758 \ubaa9\ud45c\ub294 \ud574\ub2f9 \uc704\uce58\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \ub2e8\uc5b4\ub97c \ucc3e\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n sample_text = \"\ub098\ub294 [MASK]\ub97c \uc0ac\ub791\ud569\ub2c8\ub2e4. \uae30\uacc4 \ud559\uc2b5\uc740 [MASK]\uc758 \uc77c\uc885\uc785\ub2c8\ub2e4.\"<\/code><\/pre>\n5. Mobile BERT \ubaa8\ub378 \ub85c\ub4dc<\/h2>\n\ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec Mobile BERT \ubaa8\ub378\uc744 \ub85c\ub4dc\ud569\ub2c8\ub2e4. \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uac00\uc838\uc624\uae30 \uc704\ud574 \uc544\ub798 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4:<\/p>\n \nfrom transformers import MobileBertTokenizer, MobileBertForMaskedLM\nimport torch\n\n# Mobile BERT \ud1a0\ud06c\ub098\uc774\uc800\uc640 \ubaa8\ub378 \ub85c\ub4dc\ntokenizer = MobileBertTokenizer.from_pretrained('google\/mobilebert-uncased')\nmodel = MobileBertForMaskedLM.from_pretrained('google\/mobilebert-uncased')\n<\/code><\/pre>\n6. \ube48\uce78 \ucc44\uc6b0\uae30 \ud568\uc218 \uad6c\ud604<\/h2>\n\uc774\uc81c \ube48\uce78 \ucc44\uc6b0\uae30\ub97c \uc218\ud589\ud558\ub294 \ud568\uc218\ub97c \uad6c\ud604\ud569\ub2c8\ub2e4. \uc774 \ud568\uc218\ub294 \ud14d\uc2a4\ud2b8\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc544, [MASK]\ub97c \ud3ec\ud568\ud558\ub294 \ubb38\uc7a5\uc744 \ud1a0\ud06c\ub098\uc774\uc988\ud558\uace0, \ubaa8\ub378\uc744 \ud1b5\ud574 \uc608\uce21\ud55c \uacb0\uacfc\ub97c \ubc18\ud658\ud569\ub2c8\ub2e4.<\/p>\n \ndef fill_mask(text):\n # \ud14d\uc2a4\ud2b8 \ud1a0\ud06c\ub098\uc774\uc988\n input_ids = tokenizer.encode(text, return_tensors='pt')\n \n # \ubaa8\ub378 \uc608\uce21\n with torch.no_grad():\n outputs = model(input_ids)\n \n # \uc608\uce21\ub41c \ud1a0\ud070 ID \uc5bb\uae30\n predictions = outputs.logits.argmax(dim=-1)\n \n # \uc608\uce21\ub41c \ub2e8\uc5b4\ub4e4\ub85c\ubd80\ud130 \ud14d\uc2a4\ud2b8 \ubcf5\uc6d0\n filled_text = tokenizer.decode(predictions[0])\n return filled_text\n<\/code><\/pre>\n7. \ube48\uce78 \ucc44\uc6b0\uae30 \ud638\ucd9c<\/h2>\n\uc774\uc81c \uad6c\ud604\ud55c \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ube48\uce78 \ucc44\uc6b0\uae30\ub97c \ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ube48\uce78\uc774 \uc788\ub294 \ubb38\uc7a5\uc744 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud55c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n \n# \ube48\uce78 \uc788\ub294 \uc0d8\ud50c \ud14d\uc2a4\ud2b8\nsample_text = \"\ub098\ub294 [MASK]\ub97c \uc0ac\ub791\ud569\ub2c8\ub2e4. \uae30\uacc4 \ud559\uc2b5\uc740 [MASK]\uc758 \uc77c\uc885\uc785\ub2c8\ub2e4.\"\n\n# \ube48\uce78 \ucc44\uc6b0\uae30 \ud568\uc218 \ud638\ucd9c\nfilled_text = fill_mask(sample_text)\nprint(filled_text)\n<\/code><\/pre>\n8. \uacb0\uacfc \ud574\uc11d<\/h2>\n\ubaa8\ub378\uc774 \uc608\uce21\ud55c \uacb0\uacfc\ub97c \ud574\uc11d\ud569\ub2c8\ub2e4. Mobile BERT\ub294 \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\ub85c, \uc790\uc5f0\uc5b4\uc758 \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uace0 \uc801\uc808\ud55c \ub2e8\uc5b4\ub97c \uc120\ud0dd\ud558\ub294 \ub370 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. \uc774 \uc608\uc81c\ub97c \ud1b5\ud574 \ubaa8\ub378\uc774 \uc5b4\ub5bb\uac8c \ube48\uce78\uc744 \ucc44\uc6b0\ub294\uc9c0 \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n 9. \uc2e4\uc2b5: \uc5ec\ub7ec \ubb38\uc7a5\uc5d0 \ub300\ud55c \ube48\uce78 \ucc44\uc6b0\uae30<\/h2>\n\uc5ec\ub7ec \uac1c\uc758 \ubb38\uc7a5\uc5d0 \ub300\ud574 \ube48\uce78 \ucc44\uc6b0\uae30\ub97c \uc2e4\uc2b5\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\ub7ec \uc0d8\ud50c\uc744 \ub9ac\uc2a4\ud2b8\uc5d0 \ub123\uace0, \ubc18\ubcf5\ubb38\uc744 \ud1b5\ud574 \uacb0\uacfc\ub97c \ud655\uc778\ud574\ubcf4\uc138\uc694.<\/p>\n \n# \ube48\uce78 \uc788\ub294 \uc5ec\ub7ec \ubb38\uc7a5 \uc0d8\ud50c\nsamples = [\n \"\ub098\ub294 [MASK]\ub97c \uc0ac\ub791\ud569\ub2c8\ub2e4.\",\n \"\uae30\uacc4 \ud559\uc2b5\uc740 [MASK]\uc758 \uc77c\uc885\uc785\ub2c8\ub2e4.\",\n \"[MASK]\ub294 \ub9e4\uc6b0 \uc911\uc694\ud55c \uac1c\ub150\uc785\ub2c8\ub2e4.\"\n]\n\n# \uac01 \uc0d8\ud50c\uc5d0 \ub300\ud574 \ube48\uce78 \ucc44\uc6b0\uae30\nfor sample in samples:\n filled = fill_mask(sample)\n print(f\"\uc6d0\ub798 \ubb38\uc7a5: {sample} -> \ucc44\uc6cc\uc9c4 \ubb38\uc7a5: {filled}\")\n<\/code><\/pre>\n10. \uacb0\ub860<\/h2>\n\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 Mobile BERT\ub97c \ud65c\uc6a9\ud558\uc5ec NLP \ube48\uce78 \ucc44\uc6b0\uae30 \ubb38\uc81c\ub97c \ud574\uacb0\ud574\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uba74 \ubcf5\uc7a1\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc190\uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Mobile BERT\ub294 \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uc728\uc801\uc73c\ub85c \uc791\ub3d9\ud558\uae30 \ub54c\ubb38\uc5d0, \uacbd\ub7c9\ud654\ub41c \uba38\uc2e0\ub7ec\ub2dd \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ub9e4\uc6b0 \uc801\ud569\ud569\ub2c8\ub2e4.<\/p>\n 11. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n\nHugging Face Transformers Documentation: https:\/\/huggingface.co\/transformers\/<\/a><\/li>\n Google’s Mobile BERT Paper: https:\/\/arxiv.org\/abs\/1904.08836<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec Mobile BERT \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\ub97c \ub9cc\ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Mobile BERT\ub294 BERT \ubaa8\ub378\uc744 \uacbd\ub7c9\ud654\ud558\uc5ec \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529, \uc9c8\uc758 \uc751\ub2f5, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4. 1. \uc900\ube44\uc0ac\ud56d \uc774 \uac15\uc88c\ub97c \uc9c4\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud658\uacbd\uacfc \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4: Python 3.6 \uc774\uc0c1 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac torch … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988”<\/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":[30],"tags":[],"class_list":["post-29628","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"\n\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29628\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec Mobile BERT \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\ub97c \ub9cc\ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Mobile BERT\ub294 BERT \ubaa8\ub378\uc744 \uacbd\ub7c9\ud654\ud558\uc5ec \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529, \uc9c8\uc758 \uc751\ub2f5, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4. 1. \uc900\ube44\uc0ac\ud56d \uc774 \uac15\uc88c\ub97c \uc9c4\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud658\uacbd\uacfc \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4: Python 3.6 \uc774\uc0c1 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac torch … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29628\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:48+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:01+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988\",\"datePublished\":\"2024-10-28T01:55:48+00:00\",\"dateModified\":\"2024-11-26T06:52:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\"},\"wordCount\":59,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29628\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29628\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, Mobile BERT \ube48\uce78 \ucc44\uc6b0\uae30 \ud034\uc988 - 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