\n \uc624\ub298\uc758 \uc8fc\uc81c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec DistilGPT-2 \ubaa8\ub378\uc758 \ud658\uacbd\uc744 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4.
\n GPT-2 \ubaa8\ub378\uc740 OpenAI\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\ub85c, \ub2e4\uc591\ud55c \uc5b8\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \uc791\uc5c5\uc5d0\uc11c \uadf8 \uc131\ub2a5\uc774 \uc785\uc99d\ub418\uc5c8\uc2b5\ub2c8\ub2e4.
\n DistilGPT-2\ub294 GPT-2\uc758 \uacbd\ub7c9\ud654 \ubc84\uc804\uc73c\ub85c, \ub354 \uc801\uc740 \uba54\ubaa8\ub9ac\uc640 \uc5f0\uc0b0 \uc790\uc6d0\uc73c\ub85c\ub3c4 \ube44\uc2b7\ud55c \uc131\ub2a5\uc744 \ub0bc \uc218 \uc788\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c \ubaa8\ub378\ub4e4\uc740 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud1b5\ud574 \uc27d\uac8c \uc811\uadfc\ud558\uace0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n DistilGPT-2 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 Python \ud658\uacbd\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. Python 3.6 \uc774\uc0c1\uc758 \ubc84\uc804\uc744 \ucd94\ucc9c\ud569\ub2c8\ub2e4.
\n \ub2e4\uc74c \ub2e8\uacc4\uc5d0 \ub530\ub77c \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n \uc6b0\uc120, Python\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. Python \uc124\uce58\uac00 \uc644\ub8cc\ub418\uba74, pip\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud569\ub2c8\ub2e4.
\n \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \ud1b5\ud574 \uac00\uc0c1 \ud658\uacbd\uc744 \uc124\uc815\ud558\uace0, \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\n <\/p>\n
bash\n# \uac00\uc0c1 \ud658\uacbd \uc0dd\uc131\npython -m venv huggingface_env\n# \uac00\uc0c1 \ud658\uacbd \ud65c\uc131\ud654 (Windows)\nhuggingface_env\\Scripts\\activate\n# \uac00\uc0c1 \ud658\uacbd \ud65c\uc131\ud654 (Linux\/Mac)\nsource huggingface_env\/bin\/activate\n\n# \ud544\uc694\ud55c \ud328\ud0a4\uc9c0 \uc124\uce58\npip install torch transformers\n <\/code><\/pre>\n2. DistilGPT-2 \ubaa8\ub378 \ub85c\ub4dc\ud558\uae30<\/h2>\n
\n Hugging Face \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c DistilGPT-2 \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.
\n \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\uae30 \uc804\uc5d0, \uba3c\uc800 transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 torch\ub97c \ubd88\ub7ec\uc635\ub2c8\ub2e4.
\n \uc544\ub798\uc640 \uac19\uc740 \ucf54\ub4dc\ub85c DistilGPT-2 \ubaa8\ub378\uc744 \ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
python\nfrom transformers import DistilGPT2Tokenizer, DistilGPT2LMHeadModel\n\n# DistilGPT2 \ud1a0\ud06c\ub098\uc774\uc800\uc640 \ubaa8\ub378 \ub85c\ub4dc\ntokenizer = DistilGPT2Tokenizer.from_pretrained('distilgpt2')\nmodel = DistilGPT2LMHeadModel.from_pretrained('distilgpt2')\n <\/code><\/pre>\n3. \ud14d\uc2a4\ud2b8 \uc0dd\uc131\ud558\uae30<\/h2>\n
\n \ubaa8\ub378\uc774 \ub85c\ub4dc\ub418\uba74, \uc774\uc81c \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud574\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc0ac\uc6a9\uc790\uac00 \uc81c\uacf5\ud55c \ud504\ub86c\ud504\ud2b8\uc5d0 \uae30\ubc18\ud558\uc5ec \ubaa8\ub378\uc774 \ub2e4\uc74c \ubb38\uc7a5\uc744 \uc0dd\uc131\ud558\ub3c4\ub85d \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uac04\ub2e8\ud55c \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
python\nimport torch\n\n# \ud504\ub86c\ud504\ud2b8 \uc124\uc815\nprompt = \"\ub525\ub7ec\ub2dd\uc740\"\n\n# \ud14d\uc2a4\ud2b8 \ud1a0\ud070\ud654\ninput_ids = tokenizer.encode(prompt, return_tensors='pt')\n\n# \ud14d\uc2a4\ud2b8 \uc0dd\uc131\nwith torch.no_grad():\n output = model.generate(input_ids, max_length=50, num_return_sequences=1)\n\n# \uacb0\uacfc \ub514\ucf54\ub529\ngenerated_text = tokenizer.decode(output[0], skip_special_tokens=True)\nprint(generated_text)\n <\/code><\/pre>\n3.1 \ucf54\ub4dc \uc124\uba85<\/h3>\n
\n \uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c \uc0ac\uc6a9\ub41c \uc8fc\uc694 \uc694\uc18c\ub4e4\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
\n- prompt:<\/strong> \uc0ac\uc6a9\uc790\uac00 \uc81c\uacf5\ud558\ub294 \ud14d\uc2a4\ud2b8 \uc2dc\uc791 \ubd80\ubd84\uc785\ub2c8\ub2e4. \ubaa8\ub378\uc740 \uc774 \ud14d\uc2a4\ud2b8\ub97c \ubc14\ud0d5\uc73c\ub85c \ub2e4\uc74c \ub2e8\uc5b4\ub4e4\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- tokenizer.encode:<\/strong> \uc785\ub825 \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud558\uc5ec \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n
- model.generate:<\/strong> \ubaa8\ub378\uc5d0 \uc785\ub825\ub41c \ub370\uc774\ud130\ub97c \ubc14\ud0d5\uc73c\ub85c \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc5ec\ub7ec \uac00\uc9c0 \ud30c\ub77c\ubbf8\ud130\ub97c \uc124\uc815\ud558\uc5ec \uacb0\uacfc\ub97c \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- tokenizer.decode:<\/strong> \uc0dd\uc131\ub41c \ud14d\uc2a4\ud2b8\ub97c \ub2e4\uc2dc \uc0ac\ub78c\uc774 \uc77d\uc744 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
4. \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc870\uc815<\/h2>\n
\n \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \uc2dc \ub2e4\uc591\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc870\uc815\ud568\uc73c\ub85c\uc368 \uacb0\uacfc\ub97c \ub2e4\ub974\uac8c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \ub2e4\uc74c\uc740 \uc8fc\uc694 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\uc785\ub2c8\ub2e4.<\/p>\n
\n- max_length:<\/strong> \uc0dd\uc131\ud560 \ud14d\uc2a4\ud2b8\uc758 \ucd5c\ub300 \uae38\uc774\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- num_return_sequences:<\/strong> \uc0dd\uc131\ud560 \ud14d\uc2a4\ud2b8\uc758 \uac1c\uc218\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- temperature:<\/strong> \ubaa8\ub378\uc758 \ucd9c\ub825 \ud655\ub960 \ubd84\ud3ec\ub97c \uc870\uc815\ud569\ub2c8\ub2e4. \ub0ae\uc740 \uac12\uc740 \ub354 \ud655\uc815\uc801\uc778 \uacb0\uacfc\ub97c, \ub192\uc740 \uac12\uc740 \ub354 \ub2e4\uc591\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud558\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/li>\n
- top_k:<\/strong> \uc0c1\uc704 k\uac1c\uc758 \ub2e8\uc5b4\ub9cc \uace0\ub824\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubb34\uc791\uc704\uc131\uc774 \uc904\uc5b4\ub4ed\ub2c8\ub2e4.<\/li>\n
- top_p:<\/strong> \ub204\uc801 \ud655\ub960\uc774 p \uc774\ud558\uc778 \ub2e8\uc5b4\ub4e4\ub9cc \uace0\ub824\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \ucd9c\ub825\uc758 \ud488\uc9c8\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
4.1 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc608\uc2dc<\/h3>\npython\n# \uc0c8\ub85c\uc6b4 \ud14d\uc2a4\ud2b8 \uc0dd\uc131\uc744 \uc704\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc124\uc815\noutput = model.generate(input_ids, max_length=100, num_return_sequences=3, temperature=0.7, top_k=50, top_p=0.95)\n\n# \uacb0\uacfc \ub514\ucf54\ub529 \ubc0f \ucd9c\ub825\nfor i in range(3):\n print(f\"Generated Text {i+1}: {tokenizer.decode(output[i], skip_special_tokens=True)}\")\n <\/code><\/pre>\n5. \ubaa8\ub378 \uc800\uc7a5 \ubc0f \ub85c\ub4dc<\/h2>\n
\n \ud559\uc2b5\ud55c \ubaa8\ub378\uc774\ub098 \ucee4\uc2a4\ud140 \ubaa8\ub378\uc744 \uc800\uc7a5\ud558\uace0 \ubd88\ub7ec\uc624\ub294 \ubc29\ubc95\ub3c4 \uc911\uc694\ud55c \uacfc\uc815\uc785\ub2c8\ub2e4.
\n Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uba74 \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc190\uc27d\uac8c \uc800\uc7a5\ud558\uace0 \ubd88\ub7ec\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
python\n# \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \uc800\uc7a5\nmodel.save_pretrained('.\/distilgpt2_model')\ntokenizer.save_pretrained('.\/distilgpt2_model')\n\n# \uc800\uc7a5\ub41c \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub4dc\nmodel = DistilGPT2LMHeadModel.from_pretrained('.\/distilgpt2_model')\ntokenizer = DistilGPT2Tokenizer.from_pretrained('.\/distilgpt2_model')\n <\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n
\n \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec DistilGPT-2 \ubaa8\ub378\uc744 \uc124\uc815\ud558\uace0 \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4.
\n \ud5c8\uae45\ud398\uc774\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc27d\uac8c \uc0ac\uc6a9 \uac00\ub2a5\ud558\uba70, \ub2e4\uc591\ud55c \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \ud1b5\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c \ud234\uc744 \ud1b5\ud574 \uac1c\uc778 \ud504\ub85c\uc81d\ud2b8 \ubc0f \uc5f0\uad6c\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.
\n \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \ub525\ub7ec\ub2dd \uad00\ub828 \uac15\uc88c\uc5d0\uc11c \ub2e4\uc591\ud55c \uc544\ud0a4\ud14d\ucc98\uc640 \uc751\uc6a9 \uc0ac\ub840\ub97c \ub2e4\ub8e8\uc5b4\ubcfc \uacc4\ud68d\uc774\ub2c8 \ub9ce\uc740 \uae30\ub300 \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4.\n <\/p>\n
7. \ucc38\uace0 \uc790\ub8cc<\/h2>\n