B

Bpr Gpl Fiqa Base Msmarco Distilbert Tas B

Developed by income
This is a sentence embedding model based on sentence-transformers, capable of converting text into 768-dimensional vector representations, suitable for tasks such as semantic search and text similarity calculation.
Downloads 39
Release Time : 6/16/2022

Model Overview

This model is specifically designed for generating dense vector representations of sentences and paragraphs, supporting application scenarios such as text similarity calculation, clustering, and information retrieval.

Model Features

High-Dimensional Vector Representation
Converts text into 768-dimensional dense vectors, capturing semantic information
Semantic Similarity Calculation
Accurately calculates semantic similarity between different texts
Easy Integration
Can be integrated into existing applications through simple APIs

Model Capabilities

Text Vectorization
Semantic Similarity Calculation
Text Clustering
Information Retrieval

Use Cases

Information Retrieval
Semantic Search
Search system based on semantics rather than keyword matching
Improves the relevance of search results
Text Analysis
Document Clustering
Automatically groups semantically similar documents
Enables unsupervised document classification
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase