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# MSMARCO Fine-tuning
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
Dense Encoder Msmarco Distilbert Word2vec256k MLM 785k Emb Updated
A DistilBERT model with word2vec-initialized vocabulary, optimized for sentence similarity tasks and trained on the MS MARCO dataset
Text Embedding
Transformers
TransformersD
vocab-transformers
33
0
Dense Encoder Msmarco Distilbert Word2vec256k Emb Updated
A sentence embedding model based on the DistilBERT architecture, initialized with a 256k vocabulary and word2vec, trained on the MS MARCO dataset, suitable for sentence similarity computation and semantic search tasks.
Text Embedding Transformers
TransformersD
vocab-transformers
31
0
Dense Encoder Msmarco Distilbert Word2vec256k MLM 445k Emb Updated
A sentence embedding model trained on the MS MARCO dataset, using a word2vec-initialized 256k vocabulary and DistilBERT architecture, suitable for semantic search and sentence similarity tasks
Text Embedding Transformers
TransformersD
vocab-transformers
29
0
Query Gen Msmarco T5 Base V1
A query generation model based on the T5-base architecture, used to generate potential search queries for text passages, enabling the training of semantic search models without labeled data
Text Generation
Q
BeIR
417
17
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