{"version":"1.0","provider_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","provider_url":"https:\/\/atmokpo.com\/w","author_name":"root","author_url":"https:\/\/atmokpo.com\/w\/author\/root\/","title":"Using Hugging Face Transformers Course, BERT [CLS] Token's Document Vector Representation Function and BERT Preprocessing - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"d1qplQ0Xtg\"><a href=\"https:\/\/atmokpo.com\/w\/36063\/\">Using Hugging Face Transformers Course, BERT [CLS] Token&#8217;s Document Vector Representation Function and BERT Preprocessing<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/atmokpo.com\/w\/36063\/embed\/#?secret=d1qplQ0Xtg\" width=\"600\" height=\"338\" title=\"&#8220;Using Hugging Face Transformers Course, BERT [CLS] Token&#8217;s Document Vector Representation Function and BERT Preprocessing&#8221; &#8212; \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" data-secret=\"d1qplQ0Xtg\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/atmokpo.com\/w\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"In the field of deep learning and natural language processing, BERT (Bidirectional Encoder Representations from Transformers) has achieved innovative results and has become an essential tool among many researchers and developers. In this course, we will explain in detail the document vector representation function using the [CLS] token based on the BERT model and the &hellip; \ub354 \ubcf4\uae30 \"\""}