BERT Base Uncased

BERT Base Uncased is Google Research's original 110M-parameter bidirectional transformer encoder pretrained on English text via masked language modeling. It produces general-purpose language representations for downstream NLP tasks such as classification, question answering, and named entity recognition. Source: supabase.