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Multilingual E5 Small 4096

Developed by efederici
A locally sparse global version based on intfloat/multilingual-e5-small, supporting multilingual text embedding models with approximately 4k tokens
Downloads 16
Release Time : 8/7/2023

Model Overview

This model is a multilingual text embedding model that supports input lengths of 4096 tokens, suitable for tasks such as sentence similarity calculation

Model Features

Multilingual Support
Supports text embedding for over 100 languages
Long Text Processing
Can handle long text inputs of approximately 4096 tokens
Locally Sparse Global Architecture
Uses locally sparse global technology to optimize model performance

Model Capabilities

Multilingual Text Embedding
Sentence Similarity Calculation
Cross-Lingual Retrieval

Use Cases

Information Retrieval
Cross-Lingual Document Retrieval
Search for relevant content in document collections across different languages
Semantic Similarity
Multilingual Sentence Similarity Calculation
Calculate semantic similarity between sentences in different languages
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