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deepvk/USER-base

Sentence Similarity·deepvk· 127.2K· 25
sentence-transformers apache-2.0 Sentence Similarity 124.0M params dataset:deepvk/ru-HNPdataset:deepvk/ru-WANLIdataset:Shitao/bge-m3-datadataset:RussianNLP/russian_super_gluedataset:reciTAL/mlsum

Universal Sentence Encoder for Russian (USER) is a sentence-transformer model for extracting embeddings exclusively for Russian language. It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.

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# pull & run locally
pip install mlforge-sdk && mlforge pull deepvk/USER-base

Model details

Task
Sentence Similarity
Provider
deepvk
Framework
sentence-transformers
Parameters
124.0M
Size
473 MB
License
apache-2.0
Downloads
127.2K
Likes
25
Paper
arXiv:2311.13534
Updated
2024-11-25

About deepvk/USER-base

Universal Sentence Encoder for Russian (USER) is a sentence-transformer model for extracting embeddings exclusively for Russian language. It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.

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