In today's blog, we'll explore how to leverage the Hugging Face API for image inference using a Python script. By the end of this guide, you will be able to send images to the model and receive predictions. Let's get started! Getting Started with the Code Below is the...
How to Train a Roberta-Base Model from Scratch on Alemannic Language
In this article, we will walk you through the process of training a roberta-base model from scratch on the Alemannic language. Developed as a demo by Patrick von Platen, this project showcases the power of deep learning and its applications in natural language...
Transforming Spoken Text to Written Text: A Comprehensive Guide
In the ever-evolving landscape of artificial intelligence, transforming spoken text into written text has become a vital tool. This blog will delve into a model designed specifically for converting raw automatic speech recognition (ASR) text outputs into a...
How to Use the GPT-2 Indonesia Model with Quantization
Welcome to this guide on using the GPT-2 Indonesia model developed by Richard Erkhov. This model showcases the innovative technique of quantization, allowing for efficient deployment while maintaining performance. Below, we will walk you through the steps to set up...
How to Utilize Transformer Models for Detecting Trolling, Aggression, and Cyberbullying
In today's digital landscape, managing online toxicity is more critical than ever. This blog will guide you through the process of fine-tuning multilingual transformer models, originally designed for the TRAC 2020 competition, to detect behaviors such as trolling,...
XLM-Align: Enhancing Cross-Lingual Language Models
Welcome to the exciting world of XLM-Align, a powerful pretrained cross-lingual language model designed to support a whopping 94 languages! This innovative model improves the performance of language understanding tasks across different languages, making it an...
How to Utilize the QA Model for Event Extraction
Welcome! In this blog, we will take you through the steps of using the Question Answering (QA) model as part of the event extraction system. This model, described in the ACL2021 paper titled Zero-shot Event Extraction via Transfer Learning: Challenges and Insights,...
How to Detect Upside Down Cats Using Fastai and Transfer Learning
Welcome to the whimsical world of cat image processing! In this blog, we will guide you through the fascinating journey of creating a model that detects whether a cat is upside down or not using the fastai library and the powerful resnet-18 architecture. So, grab your...
A Comprehensive Guide to Using the T5-base-C4JFLEG Model for Grammar Correction
If you've ever found yourself grappling with grammatical errors in your writing, you’re not alone! Enter the T5-base-C4JFLEG model – a robust solution designed to enhance your text's grammatical accuracy. This article will guide you through creating and utilizing this...








