1.0라이브스마트https://atmokpo.com/wroothttps://atmokpo.com/w/author/root/Using Hugging Face Transformers Tutorial, Sample Image Dataset - 라이브스마트rich600338<blockquote class="wp-embedded-content" data-secret="CiVKf1Lqum"><a href="https://atmokpo.com/w/36205/">Using Hugging Face Transformers Tutorial, Sample Image Dataset</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://atmokpo.com/w/36205/embed/#?secret=CiVKf1Lqum" width="600" height="338" title="“Using Hugging Face Transformers Tutorial, Sample Image Dataset” — 라이브스마트" data-secret="CiVKf1Lqum" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
/*! This file is auto-generated */
!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);
//# sourceURL=https://atmokpo.com/w/wp-includes/js/wp-embed.min.js
</script>
Recently, the Hugging Face library has been widely used in both natural language processing (NLP) and computer vision (CV) fields within artificial intelligence and deep learning. In this article, we will explain how to process image datasets and train models using the Hugging Face Transformers library, and we will explore this in detail with example … 더 보기 ""