Step-by-Step Text Classification with Encoder-Only Models: A Complete Beginner’s Guide скачать в хорошем качестве

Step-by-Step Text Classification with Encoder-Only Models: A Complete Beginner’s Guide

Feel free to connect with me on LinkedIn: www.linkedin.com/in/diveshrkubal Follow me on Instagram:   / divesh_kubal   In today’s video, we’re diving deep into text classification using a powerful RoBERTa model. Our goal? Classifying movie reviews into positive or negative categories, using a real-world dataset – the famous rotten_tomatoes dataset! In this tutorial, we’ll walk through: Introduction to Text Classification: How we can classify movie reviews as positive or negative using machine learning models. Choosing the Right Model: We’ll be working with a fine-tuned RoBERTa model from Hugging Face that was originally trained on tweets for sentiment analysis. But the exciting part is testing it on movie reviews to see how well it generalizes across different domains! Exploring Hugging Face Models: Get to know how you can explore and pick your own models from Hugging Face’s amazing collection for any text classification task. Hands-on Coding: Finally, we’ll dive into some hands-on code to set up the model and start classifying movie reviews. By the end of this video, you’ll have a solid understanding of how to tackle text classification problems using pre-trained models and apply them to your own projects. Whether you’re a beginner or have some experience with machine learning, this video will guide you step-by-step through the process. 🎬 Don’t forget to check out our previous video for more details on encoder-only and generative models! Chapters: 0:00 Introduction 0:12 Problem Statement 0:33 Implementation in Python 🔗 Relevant Links: Code - https://github.com/DiveshRKubal/Large... 🔗 Helpful Links: Hugging Face Models: https://huggingface.co/models Previous Video on Encoder-Only and Generative Models:    • Text Classification with LLMs: Using Encod...   #MachineLearning #AI #TextClassification #RoBERTa #HuggingFace #SentimentAnalysis #MovieReviews #DeepLearning #NaturalLanguageProcessing #NLP #Python #DataScience #AIforBeginners #AIModels #CodingTutorial Thanks for watching! Make sure to hit the like button if you find this video helpful, and don’t forget to subscribe for more tutorials on AI, machine learning, and natural language processing. Got questions or ideas for future videos? Drop them in the comments below – we’d love to hear from you!