# Contextual Embeddings

FlauBERT is a French BERT model pretrained on a large-scale French corpus, developed by the French National Centre for Scientific Research (CNRS), offering different versions to accommodate various needs.

BiBERT-ende is a bilingual (English-German) pretrained language model optimized for Neural Machine Translation (NMT), enhancing translation performance through contextual embeddings.

FlauBERT is a French BERT model pre-trained on a large-scale French corpus, developed by the French National Center for Scientific Research.

CamemBERT is an advanced French language model based on RoBERTa, offering 6 different versions suitable for various French natural language processing tasks.