Description
The objective is to explore and utilize the Google Flan-UL2 model for entity extraction.Google Flan-UL2 is a pre-trained language model which can be used for token-level entity extraction tasks. Entity extraction, also known as Named Entity Recognition (NER), involves identifying and classifying named entities (such as persons, organizations, locations, dates, etc.) from unstructured text.