AI가 움직이고 미래가 업데이트됩니다.splade_v2_distil
SPLADE model for passage retrieval. For additional details, please visit: * paper: https://arxiv.org/abs/2109.10086 * code: https://github.com/naver/splade This is a SPLADE Sparse Encoder model. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and sparse retrieval. - **Model Type:** SPLADE Sparse Encoder - **Base model:** distilbert/distilbert-base-uncased - **Maximum Sequence Length:** 512 tokens (256 for evaluation reproduction) - **Output Dimensionality:** 30522 dimensions - **Similarity Function:** Dot Product
번역 준비 중입니다. 원문을 표시합니다.
SPLADE model for passage retrieval. For additional details, please visit: * paper: https://arxiv.org/abs/2109.10086 * code: https://github.com/naver/splade This is a SPLADE Sparse Encoder model. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and sparse retrieval. - **Model Type:** SPLADE Sparse Encoder - **Base model:** distilbert/distilbert-base-uncased - **Maximum Sequence Length:** 512 tokens (256 for evaluation reproduction) - **Output Dimensionality:** 30522 dimensions - **Similarity Function:** Dot Product