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Gpt2 Emotion

Developed by heegyu
An English emotional text generation model based on the GPT-2 architecture, supporting six basic emotion categories as generation conditions.
Downloads 76
Release Time : 1/25/2023

Model Overview

This model is based on the GPT-2 architecture and is specifically designed for emotional text generation tasks. Users can control the emotional tendency of generated text through emotion prefixes (e.g., 'sadness', 'joy', etc.).

Model Features

Emotion-Conditioned Generation
Supports controlling the emotional tendency of generated text through emotion prefixes (sadness/joy/love/anger/fear/surprise).
Lightweight Model
Based on the standard GPT-2 architecture, with a moderate parameter count, suitable for rapid deployment.

Model Capabilities

Emotional Text Generation
Conditional Text Generation

Use Cases

Emotion Analysis Assistance
Emotional Text Sample Generation
Generate labeled training samples for emotion analysis tasks.
Can generate coherent text that aligns with specific emotional tendencies.
Creative Writing
Emotion-Guided Writing
Assist creators in generating text content with specific emotional tones.
Examples demonstrate the ability to generate coherent paragraphs that align with 'sadness' emotion.
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