Test-Zeroshot Open-Source Zero-Shot Classification Model: Achieve Text Classification without Training Data

Test Zeroshot

Developed by paulhindemith

This is a zero-shot classification model capable of classifying text without task-specific training data

Downloads 31

Release Time : 11/3/2022

Model Overview

This model supports zero-shot text classification tasks and can directly classify unseen categories

Zero-shot learning capability

Can classify without task-specific training data

Multilingual support

Can process text in multiple languages including Chinese (inferred from examples)

Ready-to-use model

Can be directly applied to classification tasks without fine-tuning

Text classification

Multilingual text processing

Zero-shot learning

Text classification

Nationality identification

Identify personal nationality information mentioned in text

As shown in the example, can accurately identify Danish nationality in 'Jens Peter Hansen comes from Denmark'

Content classification

News classification

Classify news articles into predefined categories

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