# Cross-attention

This is a French cross-encoder model based on mDeBERTa-v3-base, specifically designed for passage reranking tasks, demonstrating excellent performance on the mMARCO-fr dataset.

This is a French cross-encoder model specifically designed for passage re-ranking tasks in semantic search.

This is a French cross-encoder model for scoring the relevance of question-passage pairs, suitable for the reranking stage in semantic search.

A multilingual NLI model based on XLM-RoBERTa, specifically designed for zero-shot and few-shot text classification tasks.