{"id":29526,"date":"2024-10-28T01:55:17","date_gmt":"2024-10-28T01:55:17","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29526"},"modified":"2024-11-26T06:52:24","modified_gmt":"2024-11-26T06:52:24","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-bart-%ed%86%a0%ed%81%ac%eb%82%98%ec%9d%b4%ec%a7%95-%ea%b2%b0%ea%b3%bc","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29526\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ud1a0\ud06c\ub098\uc774\uc9d5 \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \uc5b4\ub808\uc774\ub85c \ubcc0\uacbd"},"content":{"rendered":"

<\/p>\n

\ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub180\ub77c\uc6b4 \ubc1c\uc804\uc744 \uac70\ub4ed\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)<\/strong>\uc758 Transformers<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \uc2e4\uc2b5\uc5d0\uc11c\ub294 BART(Bidirectional and Auto-Regressive Transformers) \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ucc98\ub9ac\ud558\uace0, \uc774\uc758 \uacb0\uacfc\ub97c \ub118\ud30c\uc774(Numpy) \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

BART \ubaa8\ub378 \uc18c\uac1c<\/h2>\n

BART\ub294 Facebook AI Research\uc5d0\uc11c \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \ubc0f \uc694\uc57d \uc791\uc5c5\uc5d0\uc11c \uc6b0\uc218\ud55c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. BART\ub294 Encoder-Decoder \uad6c\uc870\ub97c \ucc44\ud0dd\ud558\uc5ec, \uc785\ub825 \ud14d\uc2a4\ud2b8\ub97c \uc774\ud574\ud558\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \ub370 \uac15\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. BART\ub294 \ud2b9\ud788 \uadf8\ub798\ud53d \ub178\ub4dc\uc640 \uac19\uc740 \ubcf5\uc7a1\ud55c \uad6c\uc870\uc758 \ud14d\uc2a4\ud2b8\ub97c \uc798 \ucc98\ub9ac\ud558\uba70, \ub2e4\uc591\ud55c NLP \ud0dc\uc2a4\ud06c\uc5d0\uc11c \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/p>\n

\ud5c8\uae45\ud398\uc774\uc2a4 Transformers \uc124\uce58\ud558\uae30<\/h2>\n

\ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \ud574\ub2f9 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \ud1b5\ud574 \uc27d\uac8c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

pip install transformers<\/code><\/pre>\n
BART \ud1a0\ud06c\ub098\uc774\uc800 \uc0ac\uc6a9\ud558\uae30<\/h2>\n
BART\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \ucd08\uae30\ud654\ud558\uace0, \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud558\ub294 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae30\ubcf8\uc801\uc778 \ud14d\uc2a4\ud2b8\ub97c BART \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud1a0\ud070\ud654\ud558\ub294 \uc608\uc2dc\uc785\ub2c8\ub2e4.<\/p>\n
from transformers import BartTokenizer\n\n# BART \ud1a0\ud06c\ub098\uc774\uc800 \ucd08\uae30\ud654\ntokenizer = BartTokenizer.from_pretrained('facebook\/bart-large')\n\n# \uc785\ub825 \ud14d\uc2a4\ud2b8\ntext = \"\ub525\ub7ec\ub2dd\uc740 \ubbf8\ub798\uc758 \uae30\uc220\uc774\ub2e4.\"\n\n# \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ntokens = tokenizer(text)\nprint(tokens)<\/code><\/pre>\n
\ud1a0\ud070\ud654 \uacb0\uacfc<\/h3>\n
\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c\ub294 BART \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825\ub41c \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud558\uc600\uc2b5\ub2c8\ub2e4. \ud1a0\ud070\ud654\uc758 \uacb0\uacfc\ub294 \ub515\uc154\ub108\ub9ac \ud615\ud0dc\ub85c \ud45c\ud604\ub418\uba70, \uc5ec\ub7ec \uac00\uc9c0 \uc815\ubcf4\ub97c \ub2f4\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
Output: \n{'input_ids': [0, 10024, 327, 1311, 1346, 231, 1620, 2], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1]}<\/code><\/pre>\n
\ub118\ud30c\uc774 \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\uae30<\/h2>\n
\ud1a0\ucf04\ud654\ub41c \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\uc5ec, \ubaa8\ub378 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\uae30\uc5d0 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \ub9cc\ub4e4\uaca0\uc2b5\ub2c8\ub2e4. \uba3c\uc800, NumPy \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\uace0 \ubd88\ub7ec\uc635\ub2c8\ub2e4.<\/p>\n
import numpy as np<\/code><\/pre>\n
\ucf54\ub4dc \uc608\uc81c<\/h2>\n
\uc804\uccb4 \uacfc\uc815\uc744 \ud3ec\ud568\ud55c \uc608\uc81c \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
import numpy as np\nfrom transformers import BartTokenizer\n\n# BART \ud1a0\ud06c\ub098\uc774\uc800 \ucd08\uae30\ud654\ntokenizer = BartTokenizer.from_pretrained('facebook\/bart-large')\n\n# \uc785\ub825 \ud14d\uc2a4\ud2b8\ntext = \"\ub525\ub7ec\ub2dd\uc740 \ubbf8\ub798\uc758 \uae30\uc220\uc774\ub2e4.\"\n\n# \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ntokens = tokenizer(text)\n\n# input_ids\ub97c \ub118\ud30c\uc774 \ubc30\uc5f4\ub85c \ubcc0\ud658\ninput_ids_np = np.array(tokens['input_ids'])\nattention_mask_np = np.array(tokens['attention_mask'])\n\n# \ucd9c\ub825\nprint(\"Input IDs:\", input_ids_np)\nprint(\"Attention Mask:\", attention_mask_np)<\/code><\/pre>\n
\uacb0\uacfc \ud655\uc778\ud558\uae30<\/h3>\n
\uc704 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \ud1a0\ud070\ud654 \uacb0\uacfc\uac00 \ub118\ud30c\uc774 \ubc30\uc5f4\ub85c \ubcc0\ud658\ub41c \uac83\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubc30\uc5f4\ub4e4\uc740 \uc774\ud6c4 \ubaa8\ub378\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30<\/h2>\n
\uc0dd\uc131\ud55c \uc22b\uc790 \ubc30\uc5f4\uc744 \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uc5ec \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \ub610\ub294 \ub2e4\ub978 NLP \ud0dc\uc2a4\ud06c\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ubb38\uc7a5\uc744 \uc694\uc57d\ud558\ub294 \uc791\uc5c5\uc744 \uc9c4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 BART \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \ud14d\uc2a4\ud2b8\ub97c \uc694\uc57d\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
from transformers import BartForConditionalGeneration\n\n# BART \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30\nmodel = BartForConditionalGeneration.from_pretrained('facebook\/bart-large')\n\n# \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30\noutput_sequences = model.generate(input_ids_np[np.newaxis, :], attention_mask=attention_mask_np[np.newaxis, :])\n\n# \uacb0\uacfc \ub514\ucf54\ub529\nsummary = tokenizer.decode(output_sequences[0], skip_special_tokens=True)\nprint(\"Generated Summary:\", summary)<\/code><\/pre>\n
\ubaa8\ub378\uc758 \ucd9c\ub825<\/h3>\n
\uc704 \ucf54\ub4dc\uc758 \uacb0\uacfc\ub85c \uc0dd\uc131\ub41c \uc694\uc57d \ud14d\uc2a4\ud2b8\ub97c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. BART \ubaa8\ub378\uc740 \uc785\ub825\ub41c \ubb38\uc7a5\uc744 \ubc14\ud0d5\uc73c\ub85c \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \ud14d\uc2a4\ud2b8 \uc0dd\uc131\uc744 \ud1b5\ud574 \uc720\uc758\ubbf8\ud55c \ub0b4\uc6a9\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/p>\n
\uacb0\ub860<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec BART \ubaa8\ub378\uc744 \ud1b5\ud574 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uace0, \uadf8 \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc744 \ud1b5\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\uc801\uc778 \uc774\ud574\ub97c \ub3d5\uace0, \ubaa8\ub378 \ud65c\uc6a9\uc758 \uae30\ucd08\uc801\uc778 \uae30\uc220\uc744 \uc775\ud790 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c \ub2e4\uc591\ud55c \ud14d\uc2a4\ud2b8 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c BART\uc640 \uac19\uc740 \uc811\uadfc\ubc95\uc744 \ud65c\uc6a9\ud558\uc5ec \ub354 \ub9ce\uc740 \uc131\uacfc\ub97c \uac70\ub450\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\uc774 \uac15\uc88c\ub97c \ud1b5\ud574 \uc5bb\uc740 \uc9c0\uc2dd\uc744 \ubc14\ud0d5\uc73c\ub85c \ub354 \ub9ce\uc740 \ud504\ub85c\uc81d\ud2b8\ub97c \uc2dc\ub3c4\ud558\uace0, \ub525\ub7ec\ub2dd\uc5d0 \ub300\ud55c \uc774\ud574\ub97c \ub113\ud790 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub180\ub77c\uc6b4 \ubc1c\uc804\uc744 \uac70\ub4ed\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \uc2e4\uc2b5\uc5d0\uc11c\ub294 BART(Bidirectional and Auto-Regressive Transformers) \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ucc98\ub9ac\ud558\uace0, \uc774\uc758 \uacb0\uacfc\ub97c \ub118\ud30c\uc774(Numpy) \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. BART \ubaa8\ub378 \uc18c\uac1c BART\ub294 Facebook AI Research\uc5d0\uc11c \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \ubc0f \uc694\uc57d … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ud1a0\ud06c\ub098\uc774\uc9d5 \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \uc5b4\ub808\uc774\ub85c \ubcc0\uacbd”<\/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-29526","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, BART \ud1a0\ud06c\ub098\uc774\uc9d5 \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \uc5b4\ub808\uc774\ub85c \ubcc0\uacbd - \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\/29526\/\" \/>\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, BART \ud1a0\ud06c\ub098\uc774\uc9d5 \uacb0\uacfc\ub97c \ub118\ud30c\uc774 \uc5b4\ub808\uc774\ub85c \ubcc0\uacbd - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub180\ub77c\uc6b4 \ubc1c\uc804\uc744 \uac70\ub4ed\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \uc2e4\uc2b5\uc5d0\uc11c\ub294 BART(Bidirectional and Auto-Regressive Transformers) \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ucc98\ub9ac\ud558\uace0, \uc774\uc758 \uacb0\uacfc\ub97c \ub118\ud30c\uc774(Numpy) \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 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