EnvBert: An NLP model for Environmental Due Diligence data classification

EnvBert is a Natural Language Processing (NLP) package built on top of DistilBERT, focused on Environmental Due Diligence (EDD). It comprises of four functions: text classification, relevancy detection, ranking and fine-tuning. Environmental dataset was used for fine-tuning DistilBERT’s performance to develop EDD model. It is hosted as an inference Application Programming Interface (API) on Hugging Face Hub. The EDD model with custom vector representation constitutes EnvBert, it can be installed using the package manager pip.