{"id":29618,"date":"2024-10-28T01:55:45","date_gmt":"2024-10-28T01:55:45","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29618"},"modified":"2024-11-26T06:52:03","modified_gmt":"2024-11-26T06:52:03","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-m2m100-%ec%a4%91%ea%b5%ad%ec%96%b4-%ec%98%81%ec%96%b4-%ec%9e%90","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29618\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, M2M100 \uc911\uad6d\uc5b4 \uc601\uc5b4 \uc790\ub3d9 \ubcc0\uc5ed"},"content":{"rendered":"

<\/p>\n

\n \ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\ub2ec\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ub9ce\uc740 \ubc1c\uc804\uc774 \uc774\ub8e8\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4
\n \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)<\/strong>\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers)<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294
\n \ub2e4\uc591\ud55c \uc5b8\uc5b4 \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\ub97c
\n \ud65c\uc6a9\ud558\uc5ec M2M100<\/strong> \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud574 \uc911\uad6d\uc5b4\uc640 \uc601\uc5b4 \uac04\uc758 \uc790\ub3d9 \ubc88\uc5ed\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574
\n \uc790\uc138\ud788 \uc124\uba85\ud558\uace0\uc790 \ud569\ub2c8\ub2e4.\n<\/p>\n

1. M2M100 \ubaa8\ub378 \uc18c\uac1c<\/h2>\n

\n M2M100\uc740 \ub2e4\uad6d\uc5b4 \ubc88\uc5ed\uc744 \uc704\ud55c \ubaa8\ub378\ub85c, \uc5ec\ub7ec \uc5b8\uc5b4 \uac04\uc758 \uc9c1\uc811 \ubcc0\ud658\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 ‘\ub2e4\uc591\ud55c
\n \uc5b8\uc5b4’\ub97c \ud3ec\ud568\ud558\uc5ec \ub2e4\uad6d\uc5b4\ub97c \ub2e4\ub8e8\ub294 \ub2a5\ub825\uc774 \ub6f0\uc5b4\ub0a9\ub2c8\ub2e4. M2M100\uc740 100\uac1c \uc774\uc0c1\uc758 \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud558\uba70,
\n \uae30\uc874\uc758 \ubc88\uc5ed \uc2dc\uc2a4\ud15c\uacfc \ub2ec\ub9ac \uc911\uac04 \uc5b8\uc5b4\ub97c \uac70\uce58\uc9c0 \uc54a\uace0 \uc9c1\uc811 \ubc88\uc5ed\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n

2. \uc124\uce58 \ubc0f \uc124\uc815<\/h2>\n

\n M2M100 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \uc6b0\uc120 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \uad00\ub828 \uc885\uc18d\uc131\uc744
\n \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc640 \uac19\uc774 pip<\/code> \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n

pip install transformers torch<\/code><\/pre>\n
3. \ubaa8\ub378 \ub85c\ub4dc \ubc0f \ubc88\uc5ed \ud568\uc218 \uad6c\ud604<\/h2>\n
\n    \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 M2M100 \ubaa8\ub378\uc744 \ub85c\ub4dc\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub294 \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c
\n    \ub85c\ub4dc\ud558\uace0, \ubc88\uc5ed\uc744 \uc218\ud589\ud558\ub294 \uac04\ub2e8\ud55c \ud568\uc218\ub97c \uad6c\ud604\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4.\n<\/p>\n
\nfrom transformers import M2M100ForConditionalGeneration, M2M100Tokenizer\n\n# \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub4dc\nmodel_name = \"facebook\/m2m100_418M\"\ntokenizer = M2M100Tokenizer.from_pretrained(model_name)\nmodel = M2M100ForConditionalGeneration.from_pretrained(model_name)\n\ndef translate(text, source_language, target_language):\n    tokenizer.src_lang = source_language\n    encoded_input = tokenizer(text, return_tensors=\"pt\")\n    generated_tokens = model.generate(**encoded_input, forced_bos_token_id=tokenizer.get_lang_id(target_language))\n    return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]\n<\/code><\/pre>\n
3.1 \ubc88\uc5ed \ud568\uc218 \uc124\uba85<\/h3>\n
\n    \uc704 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uc791\ub3d9\ud569\ub2c8\ub2e4:<\/p>\n
    \n
  1. tokenizer.src_lang<\/code>: \uc18c\uc2a4 \uc5b8\uc5b4\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.<\/li>\n
  2. tokenizer()<\/code>: \uc785\ub825 \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud06c\ub098\uc774\uc988\ud569\ub2c8\ub2e4.<\/li>\n
  3. model.generate()<\/code>: \ud1a0\ud06c\ub098\uc774\uc988\ub41c \uc785\ub825\uc744 \ubc14\ud0d5\uc73c\ub85c \ubc88\uc5ed\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/li>\n
  4. tokenizer.batch_decode()<\/code>: \uc0dd\uc131\ub41c \ud1a0\ud070\uc744 \ub514\ucf54\ub4dc\ud558\uc5ec \ubc88\uc5ed\ub41c \ud14d\uc2a4\ud2b8\ub97c \ubc18\ud658\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n
    4. \ubc88\uc5ed \uc608\uc81c<\/h2>\n
    \n    \uc774\uc81c \ubc88\uc5ed \uae30\ub2a5\uc744 \ud14c\uc2a4\ud2b8\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798 \uc608\uc81c\ub294 \uc911\uad6d\uc5b4 \ubb38\uc7a5\uc744 \uc601\uc5b4\ub85c \ubc88\uc5ed\ud558\ub294 \uae30\ub2a5\uc744
    \n    \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n<\/p>\n
    \n# \ubc88\uc5ed\ud560 \ubb38\uc7a5\ntext = \"\u4f60\u597d\uff0c\u4e16\u754c\uff01\"  # Hello, World!\nsource_lang = \"zh\"  # \uc911\uad6d\uc5b4\ntarget_lang = \"en\"  # \uc601\uc5b4\n\n# \ubc88\uc5ed \uc218\ud589\ntranslated_text = translate(text, source_lang, target_lang)\nprint(f\"\ubc88\uc5ed \uacb0\uacfc: {translated_text}\")\n<\/code><\/pre>\n
    4.1 \uacb0\uacfc \ud574\uc11d<\/h3>\n
    \n    \uc704\uc758 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 “Hello, World!”\ub77c\ub294 \uc601\uc5b4 \ubb38\uc7a5\uc774 \ucd9c\ub825\ub429\ub2c8\ub2e4. M2M100 \ubaa8\ub378\uc740
    \n    \uc0c1\ub300\uc801\uc73c\ub85c \ubcf5\uc7a1\ud55c \ubb38\uc7a5 \uad6c\uc870\ub97c \uac00\uc9c4 \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed\ub3c4 \uc798 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
    5. \uc5ec\ub7ec \uc5b8\uc5b4 \ubc88\uc5ed \uc608\uc81c<\/h2>\n
    \n    M2M100 \ubaa8\ub378\uc758 \uac15\ub825\ud55c \uae30\ub2a5 \uc911 \ud558\ub098\ub294 \ub2e4\uc218\uc758 \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud55c\ub2e4\ub294 \uc810\uc785\ub2c8\ub2e4. \uc544\ub798 \uc608\uc81c\uc5d0\uc11c\ub294
    \n    \ud55c\uad6d\uc5b4, \ud504\ub791\uc2a4\uc5b4, \uc2a4\ud398\uc778\uc5b4 \ub4f1 \uc5ec\ub7ec \uc5b8\uc5b4 \uac04 \ubc88\uc5ed\uc744 \uc218\ud589\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n
    \n# \ub2e4\uad6d\uc5b4 \ubc88\uc5ed \ud14c\uc2a4\ud2b8\nsamples = [\n    {\"text\": \"\uc5ec\ub7ec \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4.\", \"source\": \"ko\", \"target\": \"en\"},  # \ud55c\uad6d\uc5b4 to \uc601\uc5b4\n    {\"text\": \"Bonjour le monde!\", \"source\": \"fr\", \"target\": \"ko\"},  # \ud504\ub791\uc2a4\uc5b4 to \ud55c\uad6d\uc5b4\n    {\"text\": \"\u00a1Hola Mundo!\", \"source\": \"es\", \"target\": \"ja\"},  # \uc2a4\ud398\uc778\uc5b4 to \uc77c\ubcf8\uc5b4\n]\n\nfor sample in samples:\n    translated = translate(sample[\"text\"], sample[\"source\"], sample[\"target\"])\n    print(f\"{sample['text']} ({sample['source']}) -> {translated} ({sample['target']})\")\n<\/code><\/pre>\n
    5.1 \ub2e4\uad6d\uc5b4 \ubc88\uc5ed \uacb0\uacfc<\/h3>\n
    \n    \uc704 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \uc5ec\ub7ec \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed\uc774 \ucd9c\ub825\ub420 \uac83\uc785\ub2c8\ub2e4. \uc911\uc694\ud55c \uc810\uc740 M2M100 \ubaa8\ub378\uc774
    \n    \uc911\uac04 \uc5b8\uc5b4\ub97c \uac70\uce58\uc9c0 \uc54a\uace0\ub3c4 \ub2e4\uc591\ud55c \uc5b8\uc5b4\ub97c \uc9c1\uc811 \ubc88\uc5ed\ud560 \uc218 \uc788\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4.\n<\/p>\n
    6. \uc131\ub2a5 \ud3c9\uac00<\/h2>\n
    \n    \ubc88\uc5ed\uc758 \ud488\uc9c8\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 BLEU(Bilingual Evaluation Understudy) \uc810\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
    \n    BLEU \uc810\uc218\ub294 \uc0dd\uc131\ub41c \ubc88\uc5ed\uacfc \ucc38\uc870 \ubc88\uc5ed \uac04\uc758 \uc720\uc0ac\uc131\uc744 \uc815\ub7c9\uc801\uc73c\ub85c \ud3c9\uac00\ud558\ub294 \uc9c0\ud45c\uc785\ub2c8\ub2e4.
    \n    \ub2e4\uc74c\uc740 BLEU \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.\n<\/p>\n
    \nfrom nltk.translate.bleu_score import sentence_bleu\n\n# \ucc38\uc870 \ubc88\uc5ed\uacfc \uc2dc\uc2a4\ud15c \ubc88\uc5ed\nreference = [\"Hello\", \"World\"]\ncandidate = translated_text.split()\n\n# BLEU \uc810\uc218 \uacc4\uc0b0\nbleu_score = sentence_bleu([reference], candidate)\nprint(f\"BLEU \uc810\uc218: {bleu_score:.4f}\")\n<\/code><\/pre>\n
    6.1 \uc131\ub2a5 \ud3c9\uac00 \ud574\uc11d<\/h3>\n
    \n    BLEU \uc810\uc218\uac00 0\uc5d0 \uac00\uae4c\uc6b8\uc218\ub85d \ubc88\uc5ed\uc774 \uc88b\uc9c0 \uc54a\uace0, 1\uc5d0 \uac00\uae4c\uc6b8\uc218\ub85d \ubc88\uc5ed\uc758 \ud488\uc9c8\uc774 \uc88b\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.
    \n    \uc5ec\ub7ec \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \uc608\uc81c\uc640 \ucc38\uc870 \ubc88\uc5ed\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc131\ub2a5\uc744
    \n    \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
    7. \uacb0\ub860<\/h2>\n
    \n    \ud5c8\uae45\ud398\uc774\uc2a4\uc758 M2M100 \ubaa8\ub378\uc740 \ub2e4\uad6d\uc5b4 \ubc88\uc5ed \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e9\ud55c \ubaa8\ub378\uc785\ub2c8\ub2e4.
    \n    \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 M2M100 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud574 \uc911\uad6d\uc5b4\uc640 \uc601\uc5b4 \uac04\uc758 \uc790\ub3d9 \ubc88\uc5ed\uc744 \uc704\ud55c \uae30\ucd08\uc801\uc778
    \n    \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \uc9c1\uc811\uc801\uc778 \uc5b8\uc5b4 \ubcc0\ud658\uc774 \uac00\ub2a5\ud558\uc5ec, \uc911\uac04 \uc5b8\uc5b4 \uc5c6\uc774
    \n    \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4.\n<\/p>\n
    \n    \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \uc5b8\uc5b4\uc640 \ubcf5\uc7a1\ud55c \ubb38\uc7a5\uc744 \uc2e4\ud5d8\ud574 \ubcf4\uba74\uc11c \uc774 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ub354\uc6b1 \uac1c\uc120\ud558\uace0
    \n    \ud65c\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\ub4e4\uc744 \ucc3e\uc544\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294
    \n    \ub2e4\uc591\ud55c NLP \ud0dc\uc2a4\ud06c\uc5d0 \ud65c\uc6a9 \uac00\ub2a5\ud558\ubbc0\ub85c, \ub2e4\uc591\ud55c \ud504\ub85c\uc81d\ud2b8\uc5d0 \uc751\uc6a9\ud574 \ubcf4\uc138\uc694.\n<\/p>\n
    <\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
    \ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\ub2ec\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ub9ce\uc740 \ubc1c\uc804\uc774 \uc774\ub8e8\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\ub97c \ud65c\uc6a9\ud558\uc5ec M2M100 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud574 \uc911\uad6d\uc5b4\uc640 \uc601\uc5b4 \uac04\uc758 \uc790\ub3d9 \ubc88\uc5ed\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0\uc790 \ud569\ub2c8\ub2e4. 1. M2M100 \ubaa8\ub378 \uc18c\uac1c M2M100\uc740 \ub2e4\uad6d\uc5b4 \ubc88\uc5ed\uc744 \uc704\ud55c \ubaa8\ub378\ub85c, \uc5ec\ub7ec \uc5b8\uc5b4 … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, M2M100 \uc911\uad6d\uc5b4 \uc601\uc5b4 \uc790\ub3d9 \ubcc0\uc5ed”<\/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-29618","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, M2M100 \uc911\uad6d\uc5b4 \uc601\uc5b4 \uc790\ub3d9 \ubcc0\uc5ed - \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\/29618\/\" \/>\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, M2M100 \uc911\uad6d\uc5b4 \uc601\uc5b4 \uc790\ub3d9 \ubcc0\uc5ed - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\ub2ec\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ub9ce\uc740 \ubc1c\uc804\uc774 \uc774\ub8e8\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uc558\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\ub97c \ud65c\uc6a9\ud558\uc5ec M2M100 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud574 \uc911\uad6d\uc5b4\uc640 \uc601\uc5b4 \uac04\uc758 \uc790\ub3d9 \ubc88\uc5ed\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0\uc790 \ud569\ub2c8\ub2e4. 1. 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