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# Passage Re-ranking
Cross Encoder Russian Msmarco
MIT
A sentence-transformers model based on the DeepPavlov/rubert-base-cased pre-trained model and fine-tuned on the MS-MARCO Russian passage ranking dataset, designed for Russian information retrieval tasks.
Text Embedding
Transformers Other
Transformers OtherC
DiTy
116.28k
16
Cotmae Base Msmarco Reranker
MS-Marco passage re-ranking model trained on CoT-MAE architecture to enhance dense passage retrieval performance
Text Embedding Transformers
TransformersC
caskcsg
16
1
T5 Ance
MIT
T5-ANCE is a dense retrieval model trained on the MS MARCO passage dataset, optimized with the T5 architecture and ANCE training process, suitable for information retrieval tasks.
Text Embedding Transformers
TransformersT
OpenMatch
893
1
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