Educational
How to Implement DistilBERT with 256k Token Embeddings

How to Implement DistilBERT with 256k Token Embeddings

DistilBERT is an efficient version of BERT, designed to reduce the model size while maintaining its performance. In this guide, we will explore how to initialize DistilBERT with a 256k token embedding matrix derived from word2vec, which has been fine-tuned through...

Unlocking Temporal Tagging with BERT: A Guide

Unlocking Temporal Tagging with BERT: A Guide

In the dynamic world of natural language processing, temporal tagging stands as a significant task that allows us to identify and classify time-related information within texts. Leveraging the power of BERT, an advanced transformers model, we can achieve remarkable...

How to Use the AraBERTMo Arabic Language Model

How to Use the AraBERTMo Arabic Language Model

If you're looking to harness the power of the Arabic language in your AI applications, the AraBERTMo model is a fantastic choice. This pre-trained language model is based on Google's BERT architecture and is specifically tailored for Arabic. In this article, we will...

How to Leverage the RuCLIP Model for Multimodal Learning

How to Leverage the RuCLIP Model for Multimodal Learning

RuCLIP (Russian Contrastive Language–Image Pretraining) is a cutting-edge multimodal model designed to understand and connect images with text in the Russian language. Built on a robust framework of zero-shot transfer, computer vision, and natural language processing,...

Bert-base-uncased for Android-Ios Question Classification

Bert-base-uncased for Android-Ios Question Classification

In this blog, we'll guide you through the process of implementing the Bert-base-uncased model for classifying questions related to Android and iOS apps. We’ll explore the steps necessary to set up your environment, understand the code, and troubleshoot common issues....

How to Use GPT-2 Indonesia with Quantization

How to Use GPT-2 Indonesia with Quantization

Welcome to this guide where we will walk you through the process of utilizing the GPT-2 Indonesia model, enhanced with quantization. This user-friendly tutorial will help you get started and generate creative text outputs effortlessly. What You Will Need Python...