In the age of artificial intelligence, leveraging pretrained models can significantly enhance your machine learning projects. This article will guide you on how to utilize the pretrained K-mHas with a multi-label model using koElectra-v3. With step-by-step...
The BERT-mini model is a lightweight version of BERT that can efficiently handle tasks like natural language inference. In this article, we will guide you through the process of fine-tuning the BERT-mini model using the state-of-the-art second-order optimizer M-FAC,...
In this blog, we will explore the step-by-step process of fine-tuning the BERT-tiny model using the M-FAC optimizer on the MNLI dataset. Whether you are a seasoned AI developer or just starting your journey in natural language processing, this guide aims to be...
Automatic Speech Recognition (ASR) is the technology that allows computers to understand and process human speech. In this blog, we'll delve into the latest ASR training results and how to interpret them, using metrics such as Word Error Rate (WER), Character Error...
In this guide, we will walk you through the steps to utilize the T5 model for conditional generation using the Hugging Face Transformers library in Python. We'll break down the process and make it user-friendly, ensuring that anyone can follow along. Prerequisites...
Are you looking to enhance the clarity of your texts by adding proper punctuation? The Punctuator model, fine-tuned based on DistilBertForTokenClassification, is designed to automatically apply punctuation to plain text in uncased English. In this blog, we will guide...
Welcome to the fascinating world of Natural Language Processing (NLP), where complex tasks are distilled into simpler forms, creating models that are as efficient as they are effective. In this blog, we will explore TinyBERT, a compact yet powerful version of BERT...
Welcome to the world of model quantization! In this guide, we will explore the steps involved in quantizing your AI models, specifically focusing on optimizing their performance and efficiency. If you’re diving into quantization for the first time, don't worry; we'll...
Are you looking for a more efficient version of BART for your AI projects? Say hello to bart-small! It's a streamlined iteration of the acclaimed BART model, designed to perform effectively while being less demanding on resources. In this article, we will guide you on...
