DeBERTa-v3-large-tasksource-NLI Open-Source Natural Language Inference Model

Deberta V3 Large Tasksource Nli

Developed by Xenova

Natural language inference model based on DeBERTa-v3-large architecture, ONNX weight version adapted for Transformers.js

Text Classification

Transformers

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

Downloads 31

Release Time : 8/8/2023

Model Overview

This model is a natural language inference (NLI) model based on the DeBERTa-v3-large architecture, specifically optimized for multiple tasks and converted to ONNX format for web-based usage.

Model Features

ONNX format support

The model has been converted to ONNX format for easy use in web environments via Transformers.js

Multi-task optimization

Trained on the TaskSource dataset, suitable for various natural language processing tasks

Zero-shot classification

Supports zero-shot classification tasks without task-specific fine-tuning

Model Capabilities

Natural language inference

Zero-shot classification

Text classification

Semantic understanding

Use Cases

Text analysis

Sentiment analysis

Classify text sentiment without training

Topic classification

Multi-category topic classification of text content

Content moderation

Inappropriate content detection

Identify inappropriate or violating content in text

Property	Details
Base Model	sileod/deberta-v3-large-tasksource-nli
Library Name	transformers.js
Pipeline Tag	zero-shot-classification

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Deberta V3 Large Tasksource Nli

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Zero-Shot Classification Model with ONNX Weights for Transformers.js

🚀 Quick Start

📚 Documentation