BERT (which stands for Bidirectional Encoder Representations from Transformers) is an open-source machine learning framework that is used for various natural language processing (NLP) tasks.

ModernBERT, like BERT, is an encoder-only model. Encoder-only models have the characteristic of outputting a 'list of numbers (embedding vector)', which means that they literally encode human ...

Create Image Captioning Models You will learn about the many components of an image captioning model, including the encoder and decoder, how to train and evaluate. Transformer Models and BERT Model ...

This means that BERT is pre-trained on a large corpus of unlabelled text including the entire Wikipedia (that's 2,500 million words!) and Book Corpus (800 million words).