In this article, we will explore the process of compressing the BERT-base model using Joint Pruning and Quantization with a Regularization Factor of 0.03. The BERT model is renowned for its natural language understanding capabilities, and by compressing it, we can...
Understanding political biases is vital in today's digital age where partisanship heavily influences public opinion and information dissemination. This blog post will guide you through implementing a text classifier using DistilBERT to classify articles based on their...
The FSNER (Few-Shot Named Entity Recognition) model revolutionizes the way we identify entity spans in a new domain by utilizing a train-free few-shot learning approach. This innovative method is inspired by question-answering paradigms, making it especially effective...
Creating your own emo music lyrics has never been easier, thanks to Emo Bot! This powerful tool, a finetuned version of GPT-Neo-125M, brings your lyrical inspirations to life. In this article, we will guide you through the process of using Emo Bot to create your own...
Have you ever wished to add a touch of eloquence to your informal messages? What if you could draft your casual thoughts with the grandeur of Abraham Lincoln's rhetoric? In this guide, we'll walk through the process of using Python's transformers library to transform...
In the world of Natural Language Processing (NLP), one of the pressing challenges we face is Sentence Boundary Detection (SBD). This technique is crucial for enhancing the reliability and effectiveness of various NLP tasks. In this article, we delve into the recent...
Understanding and processing legal documents can be as challenging as navigating through a maze of rules and exceptions. One of the fundamental tasks in natural language processing (NLP) is Sentence Boundary Detection (SBD), which helps disentangle complex legal...
With the growing interest in Arabic language processing, the introduction of the ArabicTransformer model allows developers and researchers to efficiently manage and utilize Arabic corpora. In this guide, we'll take you through the steps to effectively implement this...
Welcome to the exciting world of natural language processing! In this article, we will explore how to leverage the random-roberta-tiny model—a mini-sized version of the RoBERTa model that is unpretrained and particularly useful for training language models from...
