Gpt2 Emotion
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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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