{"id":5083,"date":"2026-08-10T09:19:27","date_gmt":"2026-08-10T09:19:27","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-2025-fine-tuning-llm-with-hugging-face-transformers-for-nlp-2024-12\/"},"modified":"2026-08-10T09:19:27","modified_gmt":"2026-08-10T09:19:27","slug":"udemy-2025-fine-tuning-llm-with-hugging-face-transformers-for-nlp-2024-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-2025-fine-tuning-llm-with-hugging-face-transformers-for-nlp-2024-12\/","title":{"rendered":"Udemy \u2013 2025 Fine Tuning LLM with Hugging Face Transformers for NLP 2024-12"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\"><strong>2024 Fine Tuning LLM with Hugging Face Transformers for NLP<\/strong>. This tutorial teaches you how to tune Large Language Models (LLM) using the Hugging Face Transformers library for natural language processing (NLP) tasks. In this course, which is a comprehensive and practical course designed for all levels, from beginners to advanced experts in natural language processing. This course delves deep into the world of transformer models, fine-tuning techniques, and knowledge distillation, with a special focus on popular BERT variants such as Phi2, LLAMA, T5, BERT, DistilBERT, MobileBERT, and TinyBERT.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<h3 class=\"\" data-sourcepos=\"8:1-8:24\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul data-sourcepos=\"9:1-12:77\">\n<li data-sourcepos=\"9:1-9:37\"><span style=\"vertical-align: inherit\">Understanding transformers and their role in NLP<\/span><\/li>\n<li data-sourcepos=\"10:1-10:41\"><span style=\"vertical-align: inherit\">Hands-on experience with Hugging Face Transformers<\/span><\/li>\n<li data-sourcepos=\"11:1-11:51\"><span style=\"vertical-align: inherit\">Familiarity with data sets and related evaluation criteria<\/span><\/li>\n<li data-sourcepos=\"12:1-12:77\"><span style=\"vertical-align: inherit\">Fine tuning transformers for text classification, question and answer, natural language inference, text summarization and machine translation.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:32\"><span style=\"vertical-align: inherit\">Understanding the principles of transformer fine tuning<\/span><\/li>\n<li data-sourcepos=\"14:1-14:51\"><span style=\"vertical-align: inherit\">Applying transformer fine-tuning to real NLP problems<\/span><\/li>\n<li data-sourcepos=\"15:1-15:59\"><span style=\"vertical-align: inherit\">Familiarity with different types of transformers such as BERT, GPT-2 and T5<\/span><\/li>\n<li data-sourcepos=\"16:1-17:0\"><span style=\"vertical-align: inherit\">Hands-on experience with the Hugging Face Transformers library<\/span><\/li>\n<\/ul>\n<h3 class=\"\" data-sourcepos=\"18:1-18:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul data-sourcepos=\"19:1-19:194\">\n<li data-sourcepos=\"19:1-19:194\"><span style=\"vertical-align: inherit\">NLP Professionals: This course is designed for NLP professionals who want to learn how to fine-tune pre-trained transformer models to achieve superior results in a wide range of NLP tasks.<\/span><\/li>\n<li data-sourcepos=\"20:1-20:141\"><span style=\"vertical-align: inherit\">Researchers: This course is also designed for researchers interested in exploring the potential of transformer fine-tuning for new NLP applications.<\/span><\/li>\n<li data-sourcepos=\"21:1-21:176\"><span style=\"vertical-align: inherit\">Students: This course is suitable for students who have taken an introductory NLP course and want to deepen their understanding of transformer models and their application to real-world NLP problems.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:124\"><span style=\"vertical-align: inherit\">Developers: This course is useful for developers who want to incorporate transformer fine-tuning into their NLP applications.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:8\"><span style=\"vertical-align: inherit\">Enthusiasts: This course is accessible to enthusiasts who are interested in learning about transformer fine tuning and applying it to personal projects.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3>Course Details 2024 Fine Tuning LLM with Hugging Face Transformers for NLP<\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/fine-tuning-llm-with-hugging-face-transformers\/?couponCode=LEARNNOWPLANS\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a class=\"ud-btn ud-btn-large ud-btn-link ud-heading-md ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/laxmi-kant\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Laxmi Kant KGP Talkie<\/span><\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 16 hours and 30 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 141<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<p style=\"text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-949309\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/2025-Fine-Tuning-LLM-with-Hugging-Face-Transformers-for-NLP.c.jpeg\" alt=\"Fine Tuning LLM with Hugging Face Transformers for NLP\" width=\"705\" height=\"909\"><\/p>\n<h3><span style=\"vertical-align: inherit\">Course prerequisites<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Basic understanding of natural language processing (NLP)<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Basic programming skills<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Familiarity with machine learning concepts<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Access to a computer with a GPU<\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-949308\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/2025-Fine-Tuning-LLM-with-Hugging-Face-Transformers-for-NLP.d.jpeg\" alt=\"Fine Tuning LLM with Hugging Face Transformers for NLP\" width=\"705\" height=\"282\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample video of the course<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-135662-1\"><video class=\"wp-video-shortcode\" id=\"video-135662-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/2024_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/2024_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/2024_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_Downloadly.ir.mp4?nocache=1786103311235\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/2024_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3><span style=\"vertical-align: inherit\">Installation guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite Player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitle: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<p><strong>Changes:<\/strong><\/p>\n<p>Version 2024\/8 has increased the number of 40 lessons and the duration of 4 hours and 16 minutes compared to 2024\/6. English subtitles have also been added to the course.<\/p>\n<p>The 2024\/12 version has increased the duration by 5 minutes compared to the 2024\/8 version.<\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_2025_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_2024-12_Downloadly.ir.part1.rar?nocache=1786103308\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_2025_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_2024-12_Downloadly.ir.part2.rar?nocache=1786103308\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_2025_Fine_Tuning_LLM_with_Hugging_Face_Transformers_for_NLP_2024-12_Downloadly.ir.part3.rar?nocache=1786103308\">Download Part 3 \u2013 1.65 GB<\/a><\/p>\n<h5><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/h5>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">5.6 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description 2024 Fine Tuning LLM with Hugging Face Transformers for NLP. This tutorial teaches you how to tune Large Language Models (LLM) using the Hugging Fac<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[51691,51692,51693,51694,51695,51696,51697],"class_list":["post-5083","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-course-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-download-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-download-course-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-free-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-free-download-2024-fine-tuning-llm-with-hugging-face-transformers-for-nlp","dgi_tag-laxmi-kant"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/5083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/5083\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=5083"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=5083"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=5083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}