Also called SPLADE v2 in some papers SPLADE v2 distill SPLADE model for passage retrieval. For additional details, please visit: paper: https://arxiv.org/abs/2109.10086 code: https://github.com/naver/splade Model Details 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 Description 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 Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library: Then you can load this model and run inference. Citation If you use our checkpoint, please cite our work:
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy