{"id":12389,"date":"2024-08-13T02:55:08","date_gmt":"2024-08-12T18:55:08","guid":{"rendered":"https:\/\/17aitech.com\/?p=12389"},"modified":"2024-10-08T15:11:17","modified_gmt":"2024-10-08T07:11:17","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day21%ef%bc%88%e4%b8%8b%ef%bc%89%ef%bc%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9a%84%e6%9e%b6%e6%9e%84%e4%ba%86%e8%a7%a3%e5%8f%8at5%e4%bd%93%e9%aa%8c","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=12389","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011day21\uff08\u4e0b\uff09\uff1a\u5927\u6a21\u578b\u7684\u4e09\u5927\u67b6\u6784\u53caT5\u4f53\u9a8c"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_78 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%89%8D%E8%A8%80\" >\u524d\u8a00<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%A4%A7%E6%A8%A1%E5%9E%8B%E7%9A%84%E4%B8%89%E5%A4%A7%E6%9E%B6%E6%9E%84\" >\u5927\u6a21\u578b\u7684\u4e09\u5927\u67b6\u6784<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/17aitech.com\/?p=12389\/#Encoder-Decoder_%E6%9E%B6%E6%9E%84\" >Encoder-Decoder \u67b6\u6784<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=12389\/#Encoder-Only_%E6%9E%B6%E6%9E%84\" >Encoder-Only \u67b6\u6784<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/17aitech.com\/?p=12389\/#Decoder-Only_%E6%9E%B6%E6%9E%84\" >Decoder-Only \u67b6\u6784<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E4%B8%89%E5%A4%A7%E6%9E%B6%E6%9E%84%E6%BC%94%E8%BF%9B%E5%9B%BE\" >\u4e09\u5927\u67b6\u6784\u6f14\u8fdb\u56fe<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%A4%A7%E6%A8%A1%E5%9E%8BT5%E7%9A%84%E4%BD%93%E9%AA%8C\" >\u5927\u6a21\u578bT5\u7684\u4f53\u9a8c<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA\" >\u73af\u5883\u642d\u5efa<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E6%9C%AC%E5%9C%B0%E7%8E%AF%E5%A2%83\" >\u672c\u5730\u73af\u5883<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E8%BF%9C%E7%A8%8B%E7%8E%AF%E5%A2%83\" >\u8fdc\u7a0b\u73af\u5883<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E9%80%89%E6%8B%A9%E6%A8%A1%E5%9E%8B\" >\u9009\u62e9\u6a21\u578b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E4%BB%A3%E7%A0%81%E6%8B%89%E5%8F%96\" >\u4ee3\u7801\u62c9\u53d6<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%AE%89%E8%A3%85%E4%BE%9D%E8%B5%96\" >\u5b89\u88c5\u4f9d\u8d56<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E6%A8%A1%E5%9E%8B%E4%BD%BF%E7%94%A8\" >\u6a21\u578b\u4f7f\u7528<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\" >\u8865\u5145\u77e5\u8bc6<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/17aitech.com\/?p=12389\/#tokenizer_%E5%88%86%E8%AF%8D%E5%99%A8\" >tokenizer \u5206\u8bcd\u5668<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/17aitech.com\/?p=12389\/#model_%E6%A8%A1%E5%9E%8B\" >model \u6a21\u578b<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\" >\u5185\u5bb9\u5c0f\u7ed3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/17aitech.com\/?p=12389\/#%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\" >\u53c2\u8003\u8d44\u6599<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E5%89%8D%E8%A8%80\"><\/span>\u524d\u8a00<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5728\u524d\u4e24\u7bc7\u5b66\u4e60\u4e2d<a href=\"https:\/\/17aitech.com\/?p=9911\">\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011day19\uff08\u4e2d\uff09\uff1aTransformer\u67b6\u6784\u53ca\u6ce8\u610f\u529b\u673a\u5236\u4e86\u89e3<\/a>\uff0c\u6211\u4eec\u521d\u6b65\u4e86\u89e3\u5927\u6a21\u578b\u7684\u516c\u5171\u5e95\u5c42\u67b6\u6784<code>Transformer<\/code>\u7684\u6784\u6210\uff0c\u540c\u65f6\u501f\u52a9\u5bf9 <code>Transformer<\/code> \u7684\u4ee3\u7801\u6df1\u5165\u4e86\u89e3(<a href=\"https:\/\/17aitech.com\/?p=11860\">\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011day20\uff1aTransformer\u6e90\u7801\u6df1\u5165\u7406\u89e3\u4e4b\u8bad\u7ec3\u8fc7\u7a0b<\/a>)\uff0c\u521d\u6b65\u638c\u63e1\u4e86 <code>Transformer<\/code> \u7684\u8bad\u7ec3\u8fc7\u7a0b\u3002\u672c\u7bc7\u6211\u4eec\u5c06\u5bf9\u5927\u6a21\u578b\u7684<strong>\u8bad\u7ec3\u9636\u6bb5<\/strong>\u8fdb\u884c\u521d\u6b65\u4e86\u89e3\uff0c\u540c\u65f6\u90e8\u7f72\u4e00\u4e2aT5\u6a21\u578b\u8fdb\u884c\u8bd5\u7528\u4f53\u9a8c\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E5%A4%A7%E6%A8%A1%E5%9E%8B%E7%9A%84%E4%B8%89%E5%A4%A7%E6%9E%B6%E6%9E%84\"><\/span>\u5927\u6a21\u578b\u7684\u4e09\u5927\u67b6\u6784<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5927\u6a21\u578b\uff08\u5982\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff09\u7684\u67b6\u6784\u901a\u5e38\u6709\u591a\u79cd\u7c7b\u578b\uff0c\u4ee5\u4e0b\u662f\u4e09\u79cd\u4e3b\u8981\u7684\u67b6\u6784\uff1a<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Encoder-Decoder_%E6%9E%B6%E6%9E%84\"><\/span>Encoder-Decoder \u67b6\u6784<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>\u67b6\u6784<\/strong>\uff1a<br \/>\n\u7531\u4e24\u4e2a\u4e3b\u8981\u90e8\u5206\u7ec4\u6210\uff1a\u7f16\u7801\u5668<code>\uff08Encoder\uff09<\/code>\u548c\u89e3\u7801\u5668<code>\uff08Decoder\uff09<\/code>\uff0c\u5373<code>Transformer<\/code> \u67b6\u6784\u3002\u5b83\u5148\u7406\u89e3\u8f93\u5165\u7684\u4fe1\u606f\uff08Encoder\u90e8\u5206\uff09\uff0c\u7136\u540e\u57fa\u4e8e\u8fd9\u4e2a\u7406\u89e3\u751f\u6210\u65b0\u7684\u3001\u76f8\u5173\u7684\u5185\u5bb9\uff08Decoder\u90e8\u5206\uff09\u3002<\/p>\n<p><strong>\u7279\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8fd9\u79cd\u67b6\u6784\u5c31\u50cf\u662f<strong>\u7ffb\u8bd1\u5bb6<\/strong>\u3002\u4ed6\u5148\u542c\u4f60\u8bf4\u4e00\u6bb5\u8bdd\uff08\u6bd4\u5982\u82f1\u6587\uff09\uff0c\u7406\u89e3\u5b83\uff0c\u7136\u540e\u628a\u5b83\u7ffb\u8bd1\u6210\u53e6\u4e00\u79cd\u8bed\u8a00\uff08\u6bd4\u5982\u4e2d\u6587\uff09\u3002<\/li>\n<li>\u64c5\u957f\u5904\u7406\u9700\u8981\u7406\u89e3\u8f93\u5165\u7136\u540e\u751f\u6210\u76f8\u5173\u8f93\u51fa\u7684\u4efb\u52a1\uff0c\u6bd4\u5982\u7ffb\u8bd1\u6216\u95ee\u7b54\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n<p><strong>\u4ee3\u8868\u516c\u53f8\u53ca\u4ea7\u54c1<\/strong>\uff1a<\/p>\n<ul>\n<li>Google\uff1aTransformer\u3001<strong>T5<\/strong>\uff08Text-to-Text Transfer Transformer\uff09<\/li>\n<li>Facebook\uff1a<strong>BART<\/strong>\uff08Bidirectional and Auto-Regressive Transformers\uff09<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Encoder-Only_%E6%9E%B6%E6%9E%84\"><\/span>Encoder-Only \u67b6\u6784<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>\u67b6\u6784<\/strong>\uff1a<br \/>\n\u4ec5\u5305\u542b\u7f16\u7801\u5668\u90e8\u5206\uff0c\u5373\u53ea\u662f\u4f7f\u7528 <code>Transformer<\/code> \u7684 <code>Encoder<\/code> \uff0c\u5b83\u4e13\u6ce8\u4e8e\u7406\u89e3\u548c\u5206\u6790\u8f93\u5165\u7684\u4fe1\u606f\uff0c\u800c\u4e0d\u662f\u521b\u9020\u65b0\u7684\u5185\u5bb9\u3002<\/p>\n<p><strong>\u7279\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8fd9\u79cd\u67b6\u6784\u5c31\u50cf\u662f\u4e00\u4e2a\u4e13\u4e1a\u7684<strong>\u4e66\u8bc4\u5bb6<\/strong>\u3002\u4ed6\u9605\u8bfb\u548c\u7406\u89e3\u4e00\u672c\u4e66\uff08\u8f93\u5165\u7684\u4fe1\u606f\uff09\uff0c\u7136\u540e\u544a\u8bc9\u4f60\u8fd9\u672c\u4e66\u662f\u5173\u4e8e\u4ec0\u4e48\u7684\uff0c\u6bd4\u5982\u5b83\u7684\u4e3b\u9898\u662f\u7231\u60c5\u3001\u5192\u9669\u8fd8\u662f\u60ac\u7591\u3002<\/li>\n<li>\u64c5\u957f\u7406\u89e3\u548c\u5206\u7c7b\u4fe1\u606f\uff0c\u6bd4\u5982\u5224\u65ad\u4e00\u6bb5\u6587\u672c\u7684\u60c5\u611f\u503e\u5411\uff08\u79ef\u6781\u8fd8\u662f\u6d88\u6781\uff09\u6216\u8005\u4e3b\u9898\u5206\u7c7b\u3002<\/li>\n<\/ul>\n<p><strong>\u4ee3\u8868\u516c\u53f8\u53ca\u4ea7\u54c1<\/strong>\uff1a<\/p>\n<ul>\n<li>Google\uff1a<strong>BERT<\/strong>\uff08Bidirectional Encoder Representations from Transformers\uff09<\/li>\n<li>Facebook\uff1aRoBERTa\u3001DistilBERT<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Decoder-Only_%E6%9E%B6%E6%9E%84\"><\/span>Decoder-Only \u67b6\u6784<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>\u67b6\u6784<\/strong>\uff1a<br \/>\n\u4ec5\u5305\u542b\u89e3\u7801\u5668\u90e8\u5206\uff0c\u5373\u53ea\u662f\u4f7f\u7528 <code>Transformer<\/code> \u7684 <code>Decoder<\/code> \uff0c\u5b83\u63a5\u6536\u4e00\u4e9b\u4fe1\u606f\uff08\u5f00\u5934\uff09\uff0c\u7136\u540e\u751f\u6210\u63a5\u4e0b\u6765\u7684\u5185\u5bb9\uff08\u6545\u4e8b\uff09\u3002<\/p>\n<p><strong>\u7279\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8fd9\u79cd\u67b6\u6784\u5c31\u50cf\u4e00\u4e2a<strong>\u8bb2\u6545\u4e8b<\/strong>\u7684\u4eba\u3002\u4f60\u7ed9\u4ed6\u4e00\u4e2a\u5f00\u5934\uff0c\u6bd4\u5982\u201c\u6709\u4e00\u6b21\uff0c\u4e00\u53ea\u5c0f\u732b\u8d70\u5931\u4e86\u201d\uff0c\u7136\u540e\u4ed6\u4f1a\u7ee7\u7eed\u8fd9\u4e2a\u6545\u4e8b\uff0c\u8bb2\u8ff0\u4e0b\u53bb\uff0c\u4e00\u76f4\u5230\u6545\u4e8b\u7ed3\u675f\u3002<\/li>\n<li>\u64c5\u957f\u521b\u9020\u6027\u7684\u5199\u4f5c\uff0c\u6bd4\u5982\u5199\u5c0f\u8bf4\u6216\u81ea\u52a8\u751f\u6210\u6587\u7ae0\u3002\u5b83\u66f4\u591a\u5173\u6ce8\u4e8e\u4ece\u5df2\u6709\u7684\u4fe1\u606f\uff08\u5f00\u5934\uff09\u6269\u5c55\u51fa\u65b0\u7684\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<p><strong>\u4ee3\u8868\u516c\u53f8\u53ca\u4ea7\u54c1<\/strong>\uff1a<\/p>\n<ul>\n<li>OpenAI\uff1aGPT-3\u3001GPT-4<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E4%B8%89%E5%A4%A7%E6%9E%B6%E6%9E%84%E6%BC%94%E8%BF%9B%E5%9B%BE\"><\/span>\u4e09\u5927\u67b6\u6784\u6f14\u8fdb\u56fe<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u5927\u6a21\u578b\u4e09\u79cd\u67b6\u6784\u6f14\u8fdb\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u5927\u6a21\u578b\u4e09\u79cd\u67b6\u6784\u6f14\u8fdb\u56fe.png\" alt=\"\" \/><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E5%A4%A7%E6%A8%A1%E5%9E%8BT5%E7%9A%84%E4%BD%93%E9%AA%8C\"><\/span>\u5927\u6a21\u578bT5\u7684\u4f53\u9a8c<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4e3a\u4e86\u5bf9\u5927\u6a21\u578b\u6709\u4e2a\u521d\u6b65\u611f\u53d7\uff0c\u672c\u6b21\u6211\u4eec\u62c9\u53d6\u4ee3\u7801\u5728\u672c\u5730\u90e8\u7f72\u4e00\u4e2aT5\u6a21\u578b\u5e76\u4f53\u9a8c\u5b83\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA\"><\/span>\u73af\u5883\u642d\u5efa<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u4f53\u9a8c\u5927\u6a21\u578b\u7684\u65b9\u6cd5\u6709\u4e24\u79cd\u65b9\u6848\uff1a<code>\u672c\u5730\u73af\u5883<\/code> \u548c <code>\u8fdc\u7a0b\u73af\u5883<\/code>\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E6%9C%AC%E5%9C%B0%E7%8E%AF%E5%A2%83\"><\/span>\u672c\u5730\u73af\u5883<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u672c\u5730\u73af\u5883\u7684\u914d\u7f6e\u548c\u4f7f\u7528\u65b9\u6cd5\uff0c\u53ef\u4ee5\u67e5\u770b\u5f80\u671f\u6587\u7ae0\uff1a<a href=\"https:\/\/17aitech.com\/?p=1499#toc-3\">Windows\u4e0b\u5b89\u88c5ubuntu\u65b9\u6cd5<\/a>\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E8%BF%9C%E7%A8%8B%E7%8E%AF%E5%A2%83\"><\/span>\u8fdc\u7a0b\u73af\u5883<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><strong>\u7b2c\u4e00\u6b65<\/strong>\uff1a\u8bbf\u95ee<a href=\"https:\/\/www.modelscope.cn\/\">Modelscope\u5e73\u53f0<\/a>\uff0c\u6ce8\u518c\u8d26\u53f7\u3002<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u8bbf\u95eeModelscope.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u8bbf\u95eeModelscope.png\" alt=\"\" \/><\/a><\/p>\n<p><strong>\u7b2c\u4e8c\u6b65<\/strong>\uff1a\u542f\u52a8\u9b54\u642d\u5e73\u53f0\u7684PAI-DSW\u5b9e\u4f8b<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u542f\u52a8PAI-DSW\u5b9e\u4f8b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u542f\u52a8PAI-DSW\u5b9e\u4f8b.png\" alt=\"\" \/><\/a><br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u67e5\u770bNotebook.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u67e5\u770bNotebook.png\" alt=\"\" \/><\/a><\/p>\n<p><strong>\u7b2c\u4e09\u6b65<\/strong>\uff1a\u5728\u65b0\u5f00\u7684\u9875\u9762\u4e2d\u767b\u5f55\u963f\u91cc\u4e91\u8d26\u53f7<\/p>\n<p><strong>\u7b2c\u56db\u6b65<\/strong>\uff1a\u5728PAI-DSW\u5b9e\u4f8b\u4e2d\u542f\u52a8\u7ec8\u7aef\u547d\u4ee4\u884c<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u542f\u52a8\u7ec8\u7aef.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/\u542f\u52a8\u7ec8\u7aef.png\" alt=\"\" \/><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E9%80%89%E6%8B%A9%E6%A8%A1%E5%9E%8B\"><\/span>\u9009\u62e9\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5728\u9b54\u642d\u5e73\u53f0\u4e2d\u641c\u7d22<code>ChatLM<\/code>\u6a21\u578b\uff0c\u67e5\u770b<a href=\"https:\/\/modelscope.cn\/models\/charent\/ChatLM-mini-Chinese\">\u4e2d\u6587\u5bf9\u8bdd0.2B\u5c0f\u6a21\u578b<\/a>\uff0c\u9009\u62e9 <code>\u6a21\u578b\u6587\u4ef6<\/code>\uff0c\u70b9\u51fb <code>\u4e0b\u8f7d\u6a21\u578b<\/code>\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E4%BB%A3%E7%A0%81%E6%8B%89%E5%8F%96\"><\/span>\u4ee3\u7801\u62c9\u53d6<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5728\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff0c\u62c9\u53d6\u6a21\u578b\u4ee3\u7801<\/p>\n<pre><code class=\"language-shell\">git clone https:\/\/www.modelscope.cn\/charent\/ChatLM-mini-Chinese.git<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%89%E8%A3%85%E4%BE%9D%E8%B5%96\"><\/span>\u5b89\u88c5\u4f9d\u8d56<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">pip install transformers<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E4%BD%BF%E7%94%A8\"><\/span>\u6a21\u578b\u4f7f\u7528<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">from transformers import AutoTokenizer, AutoModelForSeq2SeqLM\nimport torch\n\n# \u56e0\u4e3a\u5df2\u7ecf\u4e0b\u8f7d\u4e86\u6a21\u578b\uff0c\u6240\u4ee5model_id\u6539\u4e3a\u672c\u5730\u8def\u5f84\nmodel_id = &#039;ChatLM-mini-Chinese&#039;\n\n# \u5224\u65adGPU\u662f\u5426\u53ef\u7528\ndevice = torch.device(&#039;cuda&#039; if torch.cuda.is_available() else &#039;cpu&#039;)\n\n# \u52a0\u8f7d\u5206\u8bcd\u5668\ntokenizer = AutoTokenizer.from_pretrained(model_id)\n\n# \u52a0\u8f7d\u6a21\u578b\nmodel = AutoModelForSeq2SeqLM.from_pretrained(model_id, trust_remote_code=True).to(device)\n\ntxt = &#039;\u5982\u4f55\u8bc4\u4ef7Apple\u8fd9\u5bb6\u516c\u53f8\uff1f&#039;\n\n# \u5bf9\u8f93\u5165\u5185\u5bb9\u7f16\u7801\nencode_ids = tokenizer([txt])\ninput_ids, attention_mask = torch.LongTensor(encode_ids[&#039;input_ids&#039;]), torch.LongTensor(encode_ids[&#039;attention_mask&#039;])\n\n# \u8c03\u7528\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\nouts = model.my_generate(\n    input_ids=input_ids.to(device),\n    attention_mask=attention_mask.to(device),\n    max_seq_len=256,\n    search_type=&#039;beam&#039;,\n)\n\n# \u5bf9\u8f93\u51fa\u5185\u5bb9\u89e3\u7801\nouts_txt = tokenizer.batch_decode(outs.cpu().numpy(), skip_special_tokens=True, clean_up_tokenization_spaces=True)\n\n# \u6253\u5370\u8f93\u51fa\nprint(outs_txt[0])\n<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/T5\u5927\u6a21\u578b\u7684\u4f53\u9a8c\u7ed3\u679c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/08\/T5\u5927\u6a21\u578b\u7684\u4f53\u9a8c\u7ed3\u679c.png\" alt=\"\" \/><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\"><\/span>\u8865\u5145\u77e5\u8bc6<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"tokenizer_%E5%88%86%E8%AF%8D%E5%99%A8\"><\/span>tokenizer \u5206\u8bcd\u5668<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u5728Jupyter Notebook\u4e2d\u67e5\u770b<code>tokenizer<\/code>\uff0c\u53ef\u4ee5\u770b\u5230\u5206\u8bcd\u5668\u4e2d\u5305\u542b\u5e38\u89c1\u7684Token\u3002<\/p>\n<pre><code class=\"language-python\">PreTrainedTokenizerFast(name_or_path=&#039;ChatLM-mini-Chinese&#039;, vocab_size=29298, model_max_length=1000000000000000019884624838656, is_fast=True, padding_side=&#039;right&#039;, truncation_side=&#039;right&#039;, special_tokens={&#039;eos_token&#039;: &#039;[EOS]&#039;, &#039;unk_token&#039;: &#039;[UNK]&#039;, &#039;pad_token&#039;: &#039;[PAD]&#039;}, clean_up_tokenization_spaces=True),  added_tokens_decoder={\n    0: AddedToken(&quot;[PAD]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    1: AddedToken(&quot;[EOS]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    2: AddedToken(&quot;[SEP]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    3: AddedToken(&quot;[BOS]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    4: AddedToken(&quot;[CLS]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    5: AddedToken(&quot;[MASK]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n    6: AddedToken(&quot;[UNK]&quot;, rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),\n}<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"model_%E6%A8%A1%E5%9E%8B\"><\/span>model \u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u5728Jupyter Notebook\u4e2d\u67e5\u770b<code>model<\/code>\uff0c\u53ef\u4ee5\u770b\u5230T5\u6a21\u578b\u7684\u7ed3\u6784\u3002<\/p>\n<pre><code class=\"language-python\">TextToTextModel(\n  (shared): Embedding(29298, 768)\n  (encoder): T5Stack(\n    (embed_tokens): Embedding(29298, 768)\n    (block): ModuleList(\n      (0): T5Block(\n        (layer): ModuleList(\n          (0): T5LayerSelfAttention(\n            (SelfAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n              (relative_attention_bias): Embedding(32, 12)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (1): T5LayerFF(\n            (DenseReluDense): T5DenseActDense(\n              (wi): Linear(in_features=768, out_features=3072, bias=False)\n              (wo): Linear(in_features=3072, out_features=768, bias=False)\n              (dropout): Dropout(p=0.1, inplace=False)\n              (act): ReLU()\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n        )\n      )\n      (1-9): 9 x T5Block(\n        (layer): ModuleList(\n          (0): T5LayerSelfAttention(\n            (SelfAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (1): T5LayerFF(\n            (DenseReluDense): T5DenseActDense(\n              (wi): Linear(in_features=768, out_features=3072, bias=False)\n              (wo): Linear(in_features=3072, out_features=768, bias=False)\n              (dropout): Dropout(p=0.1, inplace=False)\n              (act): ReLU()\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n        )\n      )\n    )\n    (final_layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n    (dropout): Dropout(p=0.1, inplace=False)\n  )\n  (decoder): T5Stack(\n    (embed_tokens): Embedding(29298, 768)\n    (block): ModuleList(\n      (0): T5Block(\n        (layer): ModuleList(\n          (0): T5LayerSelfAttention(\n            (SelfAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n              (relative_attention_bias): Embedding(32, 12)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (1): T5LayerCrossAttention(\n            (EncDecAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (2): T5LayerFF(\n            (DenseReluDense): T5DenseActDense(\n              (wi): Linear(in_features=768, out_features=3072, bias=False)\n              (wo): Linear(in_features=3072, out_features=768, bias=False)\n              (dropout): Dropout(p=0.1, inplace=False)\n              (act): ReLU()\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n        )\n      )\n      (1-9): 9 x T5Block(\n        (layer): ModuleList(\n          (0): T5LayerSelfAttention(\n            (SelfAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (1): T5LayerCrossAttention(\n            (EncDecAttention): T5Attention(\n              (q): Linear(in_features=768, out_features=768, bias=False)\n              (k): Linear(in_features=768, out_features=768, bias=False)\n              (v): Linear(in_features=768, out_features=768, bias=False)\n              (o): Linear(in_features=768, out_features=768, bias=False)\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n          (2): T5LayerFF(\n            (DenseReluDense): T5DenseActDense(\n              (wi): Linear(in_features=768, out_features=3072, bias=False)\n              (wo): Linear(in_features=3072, out_features=768, bias=False)\n              (dropout): Dropout(p=0.1, inplace=False)\n              (act): ReLU()\n            )\n            (layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n            (dropout): Dropout(p=0.1, inplace=False)\n          )\n        )\n      )\n    )\n    (final_layer_norm): FusedRMSNorm(torch.Size([768]), eps=1e-06, elementwise_affine=True)\n    (dropout): Dropout(p=0.1, inplace=False)\n  )\n  (lm_head): Linear(in_features=768, out_features=29298, bias=False)\n)<\/code><\/pre>\n<ul>\n<li>\u67e5\u770b\u8be5\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u5176\u7ed3\u6784\u662f\u4e00\u4e2a\u5178\u578b\u7684<code>Transformer<\/code>\u6a21\u578b\u7ed3\u6784\u3002<\/li>\n<li><code>(encoder): T5Stack<\/code> \u662f\u7f16\u7801\u5668\uff0c\u5176\u5185\u90e8\u662f\u753110\u4e2a<code>T5Block<\/code>\u7ec4\u6210\uff0c<code>(decoder): T5Stack<\/code> \u662f\u89e3\u7801\u5668\uff0c\u5176\u5185\u90e8\u4e5f\u662f\u753110\u4e2a<code>T5Block<\/code>\u7ec4\u6210\u3002<\/li>\n<li><code> T5LayerSelfAttention<\/code> \u662f\u81ea\u6ce8\u610f\u529b\u5904\u7406\u6a21\u5757\uff0c<code>T5LayerCrossAttention<\/code> \u662f\u878d\u5408\u6ce8\u610f\u529b\u5904\u7406\u6a21\u5757\uff0c<code>T5LayerFF<\/code> \u662f\u524d\u9988\u6a21\u5757\u3002<\/li>\n<li><code>(lm_head): Linear<\/code> \u662f\u5bf9\u5e94Transformer\u7684\u8f93\u51fa\u5c42\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\"><\/span>\u5185\u5bb9\u5c0f\u7ed3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>\u5927\u6a21\u578b\u6709\u4e09\u5927\u67b6\u6784\uff1aEncoderdecoder\u3001Encoder-Only\u3001Decoder-Only\u3002<\/li>\n<li>Encoderdecoder\u67b6\u6784\u5c31\u50cf\u662f<strong>\u7ffb\u8bd1\u5bb6<\/strong>\uff0c\u4ee3\u8868\u6a21\u578b\u662f<strong>T5<\/strong>\u6a21\u578b\u3002<\/li>\n<li>Encoder-Only\u67b6\u6784\u5c31\u50cf\u662f<strong>\u4e66\u8bc4\u5bb6<\/strong>\uff0c\u4ee3\u8868\u6a21\u578b\u662f<strong>BERT<\/strong>\u6a21\u578b\u3002<\/li>\n<li>Decoder-Only\u67b6\u6784\u5c31\u50cf\u662f<strong>\u6570\u5b66\u5bb6<\/strong>\uff0c\u4ee3\u8868\u6a21\u578b\u662f<strong>GPT-4<\/strong>\u6a21\u578b\u3002<\/li>\n<li>\u5927\u6a21\u578b\u8bad\u7ec3\u9636\u6bb5\u7531\u4e09\u4e2a\u9636\u6bb5\u7ec4\u6210\uff1a<code>\u9884\u8bad\u7ec3(PT)<\/code> \u3001<code>\u76d1\u7763\u5fae\u8c03(SFT)<\/code> \u548c <code>\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60(RLHF)<\/code> \u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\"><\/span>\u53c2\u8003\u8d44\u6599<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/blog.csdn.net\/u010899985\/article\/details\/135144595\">CSDN:\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4e09\u79cd\u4e3b\u8981\u67b6\u6784<\/a><\/p>\n<p><a href=\"https:\/\/blog.csdn.net\/acelit\/article\/details\/137566723\">CSDN:\u89e3\u6790\u5927\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\u4e09\u9636\u6bb5<\/a><\/p>\n<p align=\"center\">\u6b22\u8fce\u5173\u6ce8\u516c\u4f17\u53f7\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u6587\u7ae0\u548c\u65b0\u95fb<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" alt=\"\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u8a00 \u5728\u524d\u4e24\u7bc7\u5b66\u4e60\u4e2d\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011day1 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":12455,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"aside","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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