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Smartshot Zeroshot Finetuned V0.2.0

Developed by gincioks
A zero-shot classification model fine-tuned from MoritzLaurer/deberta-v3-base-zeroshot-v2.0-c using the SmartShot method with an NLI framework
Downloads 197
Release Time : 4/25/2025

Model Overview

This model is a zero-shot classification model capable of classifying text without task-specific training data. Based on the Natural Language Inference (NLI) framework, it is suitable for various text classification scenarios.

Model Features

Zero-shot classification capability
Can classify without task-specific training data
NLI framework-based
Uses Natural Language Inference framework for text classification
SmartShot fine-tuning
Employs SmartShot method for model fine-tuning to improve classification performance

Model Capabilities

Text classification
Zero-shot learning
Natural language understanding

Use Cases

Text classification
Sentiment analysis
Classify text sentiment polarity
Topic classification
Identify the topic category of text
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