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Zero Shot

Developed by Mel-Iza0
Portuguese zero-shot classification model based on DeBERTa-v3 architecture, suitable for performing text classification tasks without fine-tuning
Downloads 71
Release Time : 3/31/2023

Model Overview

This model leverages the powerful representation capabilities of DeBERTa-v3 to support zero-shot text classification, allowing users to classify new categories without providing training data

Model Features

Zero-shot learning capability
Capable of classifying new categories without fine-tuning for specific tasks
Multilingual support
Optimized specifically for Portuguese text, supporting Portuguese classification tasks
Efficient inference
Based on DeBERTa-v3 architecture, providing relatively efficient inference speed while maintaining high accuracy

Model Capabilities

Portuguese text classification
Zero-shot learning
Multi-class classification

Use Cases

Text classification
News classification
Automatically classify Portuguese news articles into predefined categories
Achieves news classification without requiring training data
Sentiment analysis
Analyze the sentiment tendency of Portuguese text
Supports zero-shot sentiment classification
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