Educational
How to Use the Ito Junji Diffusion Model

How to Use the Ito Junji Diffusion Model

If you're a fan of the eerie and intricate art style of Junji Ito, you'll be thrilled with the capabilities of the Ito Junji Diffusion model. This model is meticulously trained using a multitude of images from Junji Ito's manga, making it an incredible tool for...

How to Use and Understand the test_trainer_1 Financial Model

How to Use and Understand the test_trainer_1 Financial Model

If you're venturing into the world of financial NLP (Natural Language Processing), you might come across the test_trainer_1 model. This guide will walk you through understanding this financial model, its architecture, intended uses, and possible troubleshooting steps....

Mastering Hyperparameters in Deep Learning: A Quick Guide

Mastering Hyperparameters in Deep Learning: A Quick Guide

Deep learning can seem daunting, especially when you're faced with a plethora of hyperparameters that need tuning. In this blog, we'll delve into some key hyperparameters—max sequence length, batch size, learning rate, and more—to better understand their roles and how...

The Usage of Tokenizer for Myanmar Language

The Usage of Tokenizer for Myanmar Language

In the world of natural language processing (NLP), tokenization is a crucial step that prepares text for analysis by splitting it into manageable pieces, or tokens. This blog will focus on the similarities of tokenizer usage for the Myanmar language, akin to that of...

Vietnam Tourism Named Entity Recognition (NER) Using BERT

Vietnam Tourism Named Entity Recognition (NER) Using BERT

In this blog, we will guide you through the innovative journey of using a fine-tuned BERT model for Named Entity Recognition (NER) specifically tailored for Vietnam's tourism dataset. Our model, dubbed NER2QUES, efficiently detects tourism-related entities and...

Exploring Pre-trained Models for Khmer: A Step-by-Step Guide

Exploring Pre-trained Models for Khmer: A Step-by-Step Guide

As we delve into the exciting world of machine learning and natural language processing (NLP), many researchers and developers are looking for resources that help them with specific languages. One such resource is the repository of pre-trained models tailored for the...

How to Train a Model for Pharmacological Relation Extraction

How to Train a Model for Pharmacological Relation Extraction

In this article, we will explore how to train a model that recognizes four types of relationships between significant pharmacological entities in Russian-language reviews. This process involves inputting review texts and identifying the relationships based on entity...

How to Load and Use the Kakao Brain KoGPT 6B Model in FP16

How to Load and Use the Kakao Brain KoGPT 6B Model in FP16

The KoGPT 6B model, released by Kakao Brain, provides an exceptional tool for natural language processing tasks. In this article, we will guide you step-by-step on how to load this model in FP16 format and generate sentences using it. Loading the KoGPT 6B Model in...