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Multilingual E5 Base Xnli Anli

Developed by mjwong
A multilingual text embedding model fine-tuned on XNLI and ANLI datasets based on intfloat/multilingual-e5-base, suitable for zero-shot classification tasks
Downloads 73
Release Time : 7/22/2023

Model Overview

This model is obtained through weakly supervised contrastive pre-training and supports zero-shot classification and natural language inference tasks in 15 languages

Model Features

Multilingual Support
Supports text classification and natural language inference tasks in 15 languages
Zero-shot Classification
Classify new categories without fine-tuning
Cross-dataset Training
Fine-tuned on both XNLI and ANLI datasets to enhance generalization capability

Model Capabilities

Zero-shot Text Classification
Multilingual Text Understanding
Natural Language Inference
Cross-lingual Text Analysis

Use Cases

Text Classification
News Classification
Automatically classify news into categories such as politics, economy, and entertainment
Maintains high accuracy in multilingual environments
Content Moderation
Multilingual Content Filtering
Identify and filter inappropriate content in different languages
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