# French Language Model

A French language model pre-trained on 1 trillion high-quality French texts, the French version of ModernBERT

CamemBERTv2 is a French language model pre-trained on a 275 billion-word French text corpus, serving as the second-generation version of CamemBERT. It adopts the RoBERTa architecture with optimized tokenizer and training data.

Jeux2BERT is a model based on the Flaubert language model and enhanced by integrating the JeuxDeMots lexical semantic network. It can capture the distributed features and associative properties of words and distinguish different relational characteristics between words or phrases.

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

Boris is an autoregressive language model based on the GPT-J architecture with 6 billion parameters, specializing in French text processing.