DistilBERT: The Compact NLP Powerhouse

Introduction to DistilBERT

DistilBERT is a smaller, faster, and lighter version of the popular BERT (Bidirectional Encoder Representations from Transformers) model developed by Hugging Face. It was introduced in 2019 and since then has been a popular choice for natural language processing tasks. The main aim of DistilBERT is to achieve similar performance as BERT with fewer parameters and faster training times, making it more suitable for resource-constrained environments such as mobile devices ...