BAAI
Beijing, 中国利用可能利用可能モデル
BGE Multilingual Gemma2 is a multilingual text embedding model for retrieval across many languages.
入力
出力
2024/06/29
BGE-M3 is a multilingual text embedding model supporting dense, sparse, and multi-vector retrieval over inputs up to 8,192 tokens.
入力
出力
2024/01/30
A lightweight multilingual cross-encoder for rescoring text documents against a query.
入力
出力
日付不明