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# High-precision Ranking
Finetuned Cross Encoder L6 V2
This is a fine-tuned cross-encoder model based on cross-encoder/ms-marco-MiniLM-L6-v2, primarily used for text re-ranking and semantic search tasks.
Text Embedding
F
CharlesPing
22
1
Rank1 14b
MIT
rank1 is a 14-billion-parameter reasoning re-ranking model that improves the performance of information retrieval tasks by generating explicit reasoning chains before making relevance judgments.
Large Language Model
Transformers English
Transformers EnglishR
jhu-clsp
23
0
Splade V3 Doc
SPLADE-v3-Doc is the document version of the SPLADE model, focusing on document-side inference and suitable for scenarios such as information retrieval.
Text Embedding Transformers English
Transformers EnglishS
naver
2,223
1
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