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...
Punctuator for Uncased English: A Comprehensive Guide
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...
TinyBERT: Distilling BERT for Natural Language Understanding
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...
How to Quantize Models for Efficient AI Inference
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...
Exploring bart-small: A Lightweight Alternative to BART
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...
How to Use CrossEncoder for Improved Word Embedding with MarginMSE Loss
In this article, we will walk through the process of utilizing a CrossEncoder trained with MarginMSE loss. We will focus on loading the model and understanding its performance metrics. This implementation is essential for those looking to enhance their AI projects,...
How to Use the GPT-Neo Small Portuguese Model
The GPT-Neo Small Portuguese model is a fine-tuned version of GPT-Neo 125M developed by EleutherAI specifically for the Portuguese language. In this blog, we'll walk you through how to set it up and generate text using this amazing AI model. Whether you’re a data...
How to Evaluate a Question-Answering Model Using BERT
In the world of AI, evaluating models is a critical step that ensures they perform well on tasks they're designed for. This blog is a hands-on guide to help you evaluate the csarronbert-base-uncased-squad-v1 model, which has been fine-tuned for question-answering...
How to Generate Arbitrary TODOs with Deep-Todo
Are you often left scratching your head about what tasks to tackle next? Fear not! The Deep-Todo tool offers a seamless way to generate a list of arbitrary TODOs derived from various public repositories. In this guide, we'll walk you through the steps to use Deep-Todo...









