{"id":22170,"date":"2026-06-10T13:26:37","date_gmt":"2026-06-10T05:26:37","guid":{"rendered":"https:\/\/ab123.xyz\/?p=22170"},"modified":"2026-06-10T13:26:37","modified_gmt":"2026-06-10T05:26:37","slug":"hugging-face-transformers-%e5%be%ae%e8%b0%83%e6%8c%87%e5%8d%97%ef%bc%9a%e9%ab%98%e6%95%88%e5%ae%9a%e5%88%b6-nlp-%e6%a8%a1%e5%9e%8b%e7%9a%84%e6%9d%83%e5%a8%81%e5%b7%a5%e5%85%b7","status":"publish","type":"post","link":"https:\/\/ab123.xyz\/?p=22170","title":{"rendered":"Hugging Face Transformers \u5fae\u8c03\u6307\u5357\uff1a\u9ad8\u6548\u5b9a\u5236 NLP \u6a21\u578b\u7684\u6743\u5a01\u5de5\u5177"},"content":{"rendered":"<p>\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\uff0c<strong>Hugging Face Transformers<\/strong> \u5df2\u6210\u4e3a\u6700\u6d41\u884c\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u5e93\u4e4b\u4e00\u3002\u5176\u63d0\u4f9b\u7684 <strong>Fine-Tuning Guide<\/strong> \u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u5c06 BERT\u3001GPT\u3001T5 \u7b49\u6a21\u578b\u9002\u914d\u81f3\u7279\u5b9a\u4efb\u52a1\uff0c\u5927\u5e45\u964d\u4f4e\u6df1\u5ea6\u5b66\u4e60\u95e8\u69db\u3002\u5b98\u65b9\u6587\u6863\u6e05\u6670\u3001\u793e\u533a\u6d3b\u8dc3\uff0c\u662f NLP \u4ece\u4e1a\u8005\u4e0d\u53ef\u6216\u7f3a\u7684\u53c2\u8003\u8d44\u6e90\u3002\u8bbf\u95ee <a href=\"https:\/\/huggingface.co\/docs\/transformers\/training\" target=\"_blank\">\u5b98\u65b9\u7f51\u7ad9<\/a> \u83b7\u53d6\u6700\u65b0\u6559\u7a0b\u4e0e API \u8bf4\u660e\u3002<\/p>\n<h2>\u6838\u5fc3\u529f\u80fd\u4e0e\u4f18\u52bf<\/h2>\n<p>\u8be5\u6307\u5357\u8986\u76d6\u4ece\u6570\u636e\u9884\u5904\u7406\u5230\u6a21\u578b\u90e8\u7f72\u7684\u5168\u6d41\u7a0b\u3002\u5176\u7a81\u51fa\u4f18\u52bf\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u652f\u6301 PyTorch\u3001TensorFlow \u548c JAX \u4e09\u5927\u6846\u67b6\uff0c\u65e0\u7f1d\u5207\u6362\u8bad\u7ec3\u73af\u5883\u3002<\/li>\n<li>\u5185\u7f6e Trainer \u7c7b\uff0c\u81ea\u52a8\u5904\u7406\u6279\u6b21\u3001\u68af\u5ea6\u7d2f\u79ef\u548c\u6df7\u5408\u7cbe\u5ea6\uff0c\u51cf\u5c11\u4ee3\u7801\u91cf\u3002<\/li>\n<li>\u63d0\u4f9b\u4e0a\u767e\u79cd\u9884\u8bad\u7ec3\u6a21\u578b\u6743\u91cd\uff0c\u901a\u8fc7 <code>AutoModelForSequenceClassification<\/code> \u7b49\u63a5\u53e3\u4e00\u952e\u52a0\u8f7d\u3002<\/li>\n<li>\u96c6\u6210\u8bc4\u4f30\u4e0e\u65e5\u5fd7\u6a21\u5757\uff0c\u53ef\u5bf9\u63a5 TensorBoard \u6216 Weights &amp; Biases\u3002<\/li>\n<\/ul>\n<h3>\u5173\u952e\u7279\u6027\u8be6\u89e3<\/h3>\n<p>Fine-Tuning Guide \u4e13\u95e8\u9488\u5bf9\u4e0d\u540c\u4efb\u52a1\u8bbe\u8ba1\u4e86\u793a\u4f8b\u811a\u672c\uff1a\u6587\u672c\u5206\u7c7b\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u95ee\u7b54\u7cfb\u7edf\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 Transformer \u8bad\u7ec3\u6587\u672c\u5206\u7c7b\u6a21\u578b\u4ec5\u9700\u51e0\u5341\u884c\u4ee3\u7801\uff1a\u4ece Hugging Face Datasets \u5e93\u8bfb\u53d6\u6570\u636e\uff0c\u8c03\u7528 Trainer \u8bbe\u7f6e\u5b66\u4e60\u7387\u548c\u6279\u6b21\u5927\u5c0f\uff0c\u6700\u7ec8\u4fdd\u5b58\u4e3a <code>pytorch_model.bin<\/code>\u3002\u6307\u5357\u8fd8\u5f3a\u8c03\u5b66\u4e60\u7387\u9884\u70ed\u4e0e\u6743\u91cd\u8870\u51cf\u6280\u5de7\uff0c\u907f\u514d\u707e\u96be\u6027\u9057\u5fd8\u3002<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<p>\u8be5\u5de5\u5177\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4ee5\u4e0b\u9886\u57df\uff1a<\/p>\n<ul>\n<li>\u5ba2\u670d\u5bf9\u8bdd\u7cfb\u7edf\uff1a\u5fae\u8c03 GPT \u6a21\u578b\u751f\u6210\u884c\u4e1a\u4e13\u5c5e\u56de\u590d\u3002<\/li>\n<li>\u91d1\u878d\u8206\u60c5\u5206\u6790\uff1a\u4f7f\u7528 BERT \u5fae\u8c03\u60c5\u611f\u5206\u7c7b\u6a21\u578b\uff0c\u8bc6\u522b\u5e02\u573a\u4fe1\u53f7\u3002<\/li>\n<li>\u533b\u7597\u75c5\u5386\u62bd\u53d6\uff1a\u5fae\u8c03 NER \u6a21\u578b\u63d0\u53d6\u8bca\u65ad\u7ed3\u679c\u4e0e\u7528\u836f\u4fe1\u606f\u3002<\/li>\n<li>\u591a\u8bed\u8a00\u7ffb\u8bd1\uff1a\u57fa\u4e8e mBART \u5fae\u8c03\u4f4e\u8d44\u6e90\u8bed\u8a00\u5bf9\u3002<\/li>\n<\/ul>\n<h3>\u6700\u65b0\u66f4\u65b0<\/h3>\n<p>2025 \u5e74 Hugging Face \u56e2\u961f\u65b0\u589e\u4e86 PEFT\uff08\u53c2\u6570\u9ad8\u6548\u5fae\u8c03\uff09\u96c6\u6210\uff0c\u652f\u6301 LoRA\u3001Prefix Tuning \u7b49\u65b9\u6cd5\uff0c\u5728\u6d88\u8d39\u7ea7 GPU \u4e0a\u5373\u53ef\u5fae\u8c03 13B \u53c2\u6570\u7684\u5927\u6a21\u578b\u3002\u540c\u65f6\u63a8\u51fa <code>accelerate<\/code> \u5e93\u81ea\u52a8\u9002\u914d\u591a\u5361\u4e0e TPU\uff0c\u8fdb\u4e00\u6b65\u964d\u4f4e\u786c\u4ef6\u95e8\u69db\u3002<\/p>\n<h2>\u5982\u4f55\u4f7f\u7528<\/h2>\n<p>\u5feb\u901f\u4e0a\u624b\u6307\u5357\uff1a<\/p>\n<ol>\n<li>\u5b89\u88c5 <code>pip install transformers datasets evaluate<\/code>\u3002<\/li>\n<li>\u9009\u62e9\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4f8b\u5982 <code>model = AutoModelForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)<\/code>\u3002<\/li>\n<li>\u914d\u7f6e\u8bad\u7ec3\u53c2\u6570\uff1a<code>from transformers import TrainingArguments<\/code> \u5e76\u8bbe\u7f6e output_dir\u3001per_device_train_batch_size \u7b49\u3002<\/li>\n<li>\u5b9a\u4e49 Trainer\uff0c\u4f20\u5165\u6a21\u578b\u3001\u53c2\u6570\u3001\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u8c03\u7528 <code>trainer.train()<\/code> \u5f00\u59cb\u5fae\u8c03\u3002<\/li>\n<\/ol>\n<p>\u5efa\u8bae\u7ed3\u5408 <strong>Hugging Face Hub<\/strong> \u5171\u4eab\u5fae\u8c03\u540e\u7684\u6a21\u578b\uff0c\u793e\u533a\u4f1a\u6301\u7eed\u66f4\u65b0\u6700\u4f73\u5b9e\u8df5\u3002\u65e0\u8bba\u4f60\u662f\u521d\u5b66\u8005\u8fd8\u662f\u8d44\u6df1\u7814\u7a76\u5458\uff0c\u8fd9\u5957\u6307\u5357\u90fd\u80fd\u663e\u8457\u63d0\u5347 NLP \u9879\u76ee\u7684\u5f00\u53d1\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\uff0cHugging Face Transformers \u5df2\u6210\u4e3a\u6700\u6d41\u884c\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u5e93\u4e4b\u4e00\u3002\u5176\u63d0\u4f9b [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[10311,8069,25404,25403,13089],"class_list":["post-22170","post","type-post","status-publish","format-standard","hentry","category-4","tag-fine-tuning","tag-hugging-face","tag-nlp","tag-transformers","tag-13089"],"_links":{"self":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/22170","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22170"}],"version-history":[{"count":1,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/22170\/revisions"}],"predecessor-version":[{"id":22171,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/22170\/revisions\/22171"}],"wp:attachment":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}