Multilingual E5 Small 4096
A locally sparse global version based on intfloat/multilingual-e5-small, supporting multilingual text embedding models with approximately 4k tokens
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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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