HomeModelsSentence Similaritydeepvk/USER-bge-m3
U

deepvk/USER-bge-m3

Sentence Similarity·deepvk· 378.1K· 80
sentence-transformers apache-2.0 Sentence Similarity 359.0M 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 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull deepvk/USER-bge-m3

Model details

Task
Sentence Similarity
Provider
deepvk
Framework
sentence-transformers
Parameters
359.0M
Size
2.7 GB
License
apache-2.0
Downloads
378.1K
Likes
80
Paper
arXiv:2311.13534
Updated
2024-07-18

About deepvk/USER-bge-m3

Universal Sentence Encoder for Russian (USER) is a sentence-transformer model for extracting embeddings exclusively for Russian language. It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.

Related Sentence Similarity

A sentence-transformers/all-MiniLM-L6-v2 Sentence Similarity ·22.7M params 255.4M 5.0K 🤗 HF P sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 Sentence Similarity ·117.7M params 50.8M 1.3K 🤗 HF A sentence-transformers/all-mpnet-base-v2 Sentence Similarity ·109.5M params 33.9M 1.3K 🤗 HF B BAAI/bge-m3 Sentence Similarity 31.1M 3.1K 🤗 HF N nomic-ai/nomic-embed-text-v1.5 Sentence Similarity ·136.7M params 18.3M 856 🤗 HF M intfloat/multilingual-e5-small Sentence Similarity ·117.7M params 10.0M 344 🤗 HF

Browse all Sentence Similarity models →