google-research/bert

3-minute, bert, BERT, BERT , BERTа, BERTом, Bidirectional Encoder Representation from Transformers, Bidirectional Encoder Representations from Transformers, several pretrained BERT models, статьи от Google про BERT, на сайте с December 18, 2022 13:55

Bidirectional Encoder Representations from Transformers (BERT) is a transformer-based machine learning technique for natural language processing (NLP) pre-training developed by Google. BERT was created and published in 2018 by Jacob Devlin and his colleagues from Google.