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Autonlp Formality Scoring 2 32597818

Developed by Harshveer
This is a single-column regression model trained with AutoNLP for evaluating text formality.
Downloads 28
Release Time : 3/2/2022

Model Overview

The model predicts formality scores by analyzing input text, suitable for applications requiring differentiation between formal and informal texts.

Model Features

Automated Training
Automatically trained using Hugging Face's AutoNLP technology, no manual parameter tuning required
Formality Assessment
Accurately evaluates text formality, suitable for various application scenarios
Efficient Performance
Compact model size with fast inference speed, ideal for real-time applications

Model Capabilities

Text Formality Scoring
Natural Language Processing
Regression Analysis

Use Cases

Content Moderation
Formal Document Detection
Automatically checks if user-submitted documents meet formal requirements
Improves moderation efficiency and reduces manual review workload
Educational Assessment
Student Assignment Grading
Evaluates the formality level of student writing
Provides objective feedback on writing style
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