In the era of rapidly evolving medical research, harnessing the power of AI to analyze COVID-19 related data is vital. One such AI tool is **CovidBERT** - a model specifically tailored for understanding scientific articles about coronaviruses. This blog aims to guide...
In the realm of natural language processing, understanding negation in questions is vital for enhancing communication between humans and machines. Today, we're diving into a question answering model that's been specifically fine-tuned to identify negation expressions....
In the realm of natural language processing (NLP), fine-tuning pre-existing models for specific languages can be a game-changer. Here, we will dive into how to use the **xlm-roberta-base-finetuned-luo** model, a Luo RoBERTa model derived from the robust...
BERT-base, a remarkable transformer model, has gained massive popularity for its outstanding performance on various natural language processing tasks. In this article, we will guide you through the process of reproducing and evaluating a pruned version of BERT-base,...
Welcome to the exciting world of artificial intelligence! In this blog, we'll explore how to utilize pre-trained models, checkpoints, training logs, and decoding results for AI projects. This information is particularly relevant to the pull request made on December 2,...
Welcome to your guide on utilizing the Duck and Cover model, a fantastic tool for generating album covers based on various parameters such as release year, artist, album name, and genre(s). This blog will walk you through the steps to use this model effectively while...
Welcome to the exciting world of natural language processing! In this guide, we will explore how to effectively leverage the Nicoladecaomsmarco Word2Vec Model. This model is a powerhouse, optimized for tasks involving large vocabulary sizes and complex language...
In today’s blog, we will walk you through the process of converting a T5 model from the TensorFlow dataset format to PyTorch. This is crucial for those who prefer to use models within the PyTorch framework, allowing for more extensive functionality and compatibility...
In the ever-evolving landscape of natural language processing (NLP), temporal tagging has emerged as a critical task, especially when dealing with time-sensitive data. Today, we'll explore how to leverage the BERT model for temporal tagging of plain text by...
