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Multilingual E5 Large Xnli

Developed by mjwong
A multilingual text classification model fine-tuned on the XNLI dataset based on multilingual-e5-large, supporting zero-shot classification in 15 languages
Downloads 21
Release Time : 7/5/2023

Model Overview

This model is a fine-tuned version of multilingual-e5-large on the XNLI dataset, primarily used for multilingual natural language inference and zero-shot classification tasks.

Model Features

Multilingual Support
Supports zero-shot classification and natural language inference tasks in 15 languages
Zero-shot Classification
Classify new categories without fine-tuning
High Performance
Excellent performance on the XNLI multilingual test set with generally high accuracy

Model Capabilities

Multilingual Text Classification
Zero-shot Classification
Natural Language Inference

Use Cases

Text Classification
News Classification
Classify news articles into predefined categories
Performs well in categories such as politics and economics
Content Moderation
Identify and classify inappropriate content
Natural Language Understanding
Semantic Relation Judgment
Determine the entailment relationship between two sentences
Outstanding performance on the XNLI dataset
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