%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Semanlink All Mpnet Base V2
A sentence transformer-based model that maps sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks like clustering or semantic search.
Downloads 15
Release Time : 6/23/2022
Model Overview
This model was fine-tuned on the Semanlink knowledge graph using the MKB library for link prediction tasks, specifically designed for representing technical and general terms in machine learning and natural language processing, while also being applicable to the news domain.
Model Features
Multilingual Support
Supports vectorization of sentences and paragraphs in both English and French.
Knowledge Graph Fine-tuning
Fine-tuned on the Semanlink knowledge graph for link prediction tasks, making it particularly suitable for representing technical terms.
High-Dimensional Vector Space
Maps text into a 768-dimensional dense vector space, preserving rich semantic information.
Model Capabilities
Sentence vectorization
Paragraph vectorization
Semantic similarity calculation
Text clustering
Semantic search
Use Cases
Information Retrieval
Technical Document Search
Implements semantic-based search functionality in technical document repositories.
Improves the relevance and accuracy of search results
Knowledge Management
Knowledge Graph Construction
Generates vector representations for entities in knowledge graphs.
Facilitates entity linking and relationship prediction in knowledge graphs
Content Recommendation
Related Content Recommendation
Recommends related articles or documents based on content similarity.
Enhances user experience and content discovery efficiency
Transformers
SafetensorsFeatured Recommended AI Models