E

E5 Base Multilingual 4096

Developed by efederici
E5-base-multilingual-4096 is a locally sparse global version based on intfloat/multilingual-e5-base, supporting multilingual text embedding models that can process up to 4096 tokens.
Downloads 340
Release Time : 6/15/2023

Model Overview

This model is a multilingual text embedding model, specifically designed for sentence similarity tasks, capable of processing texts in multiple languages and generating high-quality embedding vectors.

Model Features

Multilingual Support
Supports text embedding for over 100 languages, including major world languages and many lesser-known languages.
Long Text Processing
Capable of processing long texts up to 4096 tokens, suitable for handling lengthy documents and paragraphs.
High-Quality Embeddings
Generates high-quality text embedding vectors based on weakly supervised contrastive pre-training methods.

Model Capabilities

Multilingual Text Embedding
Sentence Similarity Calculation
Cross-Language Information Retrieval

Use Cases

Information Retrieval
Cross-Language Document Retrieval
This model can be used to retrieve documents in different languages that have similar content.
Improves the accuracy and efficiency of cross-language retrieval
Question Answering Systems
Multilingual Question Answering
Build a question-answering system that supports multiple languages, capable of understanding queries in different languages and returning relevant answers.
Expands the language coverage of question-answering systems
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