Welcome to this guide that will help you harness the power of the OPUS-MT model designed specifically for translating Insular Celtic languages (Gaelic, Welsh, Breton, Scottish Gaelic, Cornish, and Manx) into English. This resource is essential for anyone interested in...
How to Utilize MedBERT for Biomedical Text Processing
In the realm of natural language processing (NLP), MedBERT has emerged as an essential tool for biomedical text understanding and extraction. This article will guide you through getting started with MedBERT, highlight its features, and troubleshoot common issues you...
How to Use Pre-trained Models for the Khmer Language
Artificial intelligence has made remarkable advancements in the field of natural language processing. Among these advancements, pre-trained models have emerged as powerful tools for handling various languages, including Khmer. In this blog post, we'll discuss how to...
How to Implement and Utilize the CrossEncoder with MarginMSE Loss
The CrossEncoder architecture trained with MarginMSE loss can be a powerful tool for tasks related to natural language processing. In this article, we will walk through how to set up and utilize this model effectively, making use of the pre-trained vocabulary from the...
How to Fine-tune BERT-tiny Model with M-FAC
In the rapidly evolving world of artificial intelligence, fine-tuning models is a common practice to enhance their performance on specific tasks. This article will walk you through the steps to fine-tune the BERT-tiny model using the innovative M-FAC optimizer, which...
How to Use the SpeechTokenizer for Speech Large Language Models
Welcome to our guide on utilizing the SpeechTokenizer, a revolutionary tool designed for speech large language models! Whether you're a developer, researcher, or just curious, this article will help you navigate the installation, usage, and troubleshooting of this...
How to Utilize BERTNLU for Dialogue Act Recognition
In the realm of natural language processing, understanding the context and intent behind spoken language is central to enhancing user interactions. BERTNLU is a powerful tool that builds upon the pretrained BERT model to efficiently handle two primary tasks: slot...
Harnessing the Power of IceBERT: A Guide to Icelandic Language Modeling
In the rapidly evolving domain of Natural Language Processing (NLP), language models are becoming increasingly sophisticated, pushing boundaries and enabling new applications. One such model is IceBERT, specifically designed for the Icelandic language. In this blog,...
A User-Friendly Guide to Using CLIP for Chinese Text and Image Processing
Authored by Hardy on 2022-02-09 Introduction In this friendly tutorial, we will delve into the fascinating world of CLIP (Contrastive Language-Image Pretraining), specifically focusing on its application in analyzing Chinese text and images. This powerful model opens...









