nli-deberta-v3-small Open-source Natural Language Inference Model - Free Deployment to Assist Zero-shot Classification Tasks

Home

Nli Deberta V3 Small

Developed by Xenova

A small natural language inference model based on DeBERTa-v3, suitable for zero-shot classification tasks

Text Classification

Transformers

#Zero-shot classification #Natural language inference #ONNX format

Downloads 423

Release Time : 8/8/2023

Model Overview

This model is a small natural language inference model based on the DeBERTa-v3 architecture, specifically optimized for zero-shot classification tasks. It is provided in ONNX format for use with the Transformers.js library on web platforms.

Model Features

ONNX format support

The model has been converted to ONNX format, compatible with Transformers.js for easy deployment on web platforms

Zero-shot classification capability

Capable of performing classification tasks without domain-specific training

Compact design

Fewer parameters compared to standard DeBERTa models, suitable for resource-constrained environments

Model Capabilities

Natural language inference

Text classification

Zero-shot learning

Use Cases

Text classification

Sentiment analysis

Classify text sentiment without training

Topic classification

Categorize documents or paragraphs by topic

Content moderation

Inappropriate content detection

Identify inappropriate or sensitive content in text

Property	Details
Base Model	cross-encoder/nli-deberta-v3-small
Library Name	transformers.js
Pipeline Tag	zero-shot-classification

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Nli Deberta V3 Small

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Cross-Encoder NLI DeBERTa-v3 Small for Transformers.js

🚀 Quick Start