DeBERTa-v3-base-mnli-fever-anli Open-source Model - Supports Multitask Natural Language Inference and is Suitable for Easy Deployment

Deberta V3 Base Mnli Fever Anli

Developed by Xenova

A zero-shot classification model based on DeBERTa-v3, supporting multi-task natural language inference (MNLI), FEVER, and ANLI tasks, converted to ONNX format for compatibility with Transformers.js

Large Language Model

Transformers

#Zero-shot inference #Multi-task NLP #Web adaptation

Downloads 52

Release Time : 8/8/2023

Model Overview

This model is a variant of DeBERTa-v3, specifically fine-tuned for natural language inference tasks, capable of handling zero-shot classification tasks without additional training.

Model Features

Zero-shot classification capability

Can perform classification tasks without task-specific training

Multi-task optimization

Jointly optimized on three natural language inference tasks: MNLI, FEVER, and ANLI

Web compatibility

ONNX format conversion enables it to run in browser environments

Model Capabilities

Natural language inference

Zero-shot text classification

Fact-checking

Textual entailment judgment

Use Cases

Content moderation

Automatic content classification

Automatically classify user-generated content

Information verification

Fact-checking

Verify the factual accuracy of textual statements

Property	Details
Base Model	MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
Library Name	transformers.js
Pipeline Tag	zero-shot-classification

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Deberta V3 Base Mnli Fever Anli

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli with ONNX for Transformers.js

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