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Deberta Small Long Nli

Developed by onnx-community
A compact zero-shot classification model based on DeBERTa architecture, optimized for long-text natural language inference tasks, converted to ONNX format for web compatibility
Downloads 19
Release Time : 10/9/2024

Model Overview

This model is a variant of DeBERTa-small, optimized for long-text Natural Language Inference (NLI) tasks, supporting zero-shot classification. After conversion to ONNX format, it can run efficiently in browser environments.

Model Features

Long-text optimization
Specially optimized architecture for long-text natural language inference tasks
Zero-shot classification
Classifies new categories without fine-tuning
Web compatibility
ONNX format adapts to browser environments, supports direct calls via Transformers.js
Lightweight
Compact model suitable for client-side deployment and real-time inference

Model Capabilities

Zero-shot text classification
Natural language inference
Long-text understanding

Use Cases

Content classification
Automatic user comment classification
Zero-shot sentiment or topic classification for e-commerce platform user reviews
Example shows 87.6% accuracy in travel-related text classification
Intelligent customer service
Consultation intent recognition
Automatically identifies the business category of user inquiries
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