# Passage Relevance Scoring
Monoelectra Base
Apache-2.0
A text ranking cross-encoder based on the ELECTRA architecture, designed for retrieval result reranking tasks
Text Embedding
Transformers English

M
cross-encoder
151
6
Ms Marco MiniLM L2 V2
Apache-2.0
A cross-encoder model trained on the MS Marco passage ranking task for query-passage relevance scoring in information retrieval.
Text Embedding English
M
cross-encoder
533.42k
11
Bert Multilingual Passage Reranking Msmarco
Apache-2.0
A multilingual passage reranking model supporting over 100 languages, designed to improve the relevance ranking of search engine results
Text Embedding Supports Multiple Languages
B
amberoad
4,610
84
Qnli Distilroberta Base
Apache-2.0
This model is a cross-encoder trained on distilroberta-base for determining whether a given passage can answer a specific question, trained on the GLUE QNLI dataset.
Question Answering System English
Q
cross-encoder
1,526
0
Ms Marco TinyBERT L4
Apache-2.0
An information retrieval model optimized based on the TinyBERT architecture, specifically trained for the MS Marco passage ranking task
Text Embedding English
M
cross-encoder
380
1
Ms Marco TinyBERT L2 V2
Apache-2.0
A lightweight cross-encoder trained on the MS Marco passage ranking task for query-passage relevance scoring in information retrieval
Text Embedding English
M
cross-encoder
247.59k
25
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