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...
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...
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...
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...
Are you eager to optimize your AI development process? The Graphcore IPU provides a remarkable toolkit that enables developers to access IPU-optimized models certified by Hugging Face. This blog will guide you through the steps to utilize the Graphcore tools...
In the realm of Natural Language Processing (NLP), Sentence Boundary Detection (SBD) serves as a cornerstone that influences the quality of outputs in various downstream tasks. With the advent of the MultiLegalSBD Dataset, researchers and developers now have a robust...
In this article, we'll guide you through the process of using state-of-the-art multilingual transformer models designed for identifying trolling, aggression, and cyberbullying. These models were developed and fine-tuned during the TRAC 2020 workshop, and they can...
In the world of Natural Language Processing (NLP), analyzing sentiments in different languages can be both fascinating and challenging. To effectively utilize a specific sentiment analysis model based on the Japanese language, you need to follow several essential...
Fine-tuning a model for sequence classification can seem daunting, but with a systematic approach, you can achieve impressive results. In this guide, we'll walk through the process of fine-tuning the xlnet-base-cased model using TextAttack, providing all the necessary...
