Session

1H 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 four functions: text classification, relevancy detection, ranking and fine-tuning. The environmental dataset was used for fine-tuning DistilBERT’s performance to develop the 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.

Deepak John Reji

Senior Data Scientist at Carelon Global Solutions Ireland

Limerick, Ireland

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top