Phrase-to-Story Generator

A fine-tuned GPT-2 model specifically trained for generating creative stories from simple phrases.

Model Details

  • Base Model: GPT-2
  • Training: Fine-tuned on diverse creative writing prompts
  • Use Case: Convert short phrases into engaging stories
  • Language: English
  • License: MIT

Usage

from transformers import GPT2LMHeadModel, GPT2Tokenizer
import torch

# Load the model
tokenizer = GPT2Tokenizer.from_pretrained("yashu16/phrase-to-story-generator")
model = GPT2LMHeadModel.from_pretrained("yashu16/phrase-to-story-generator")

# Generate a story
phrase = "magical forest adventure"
prompt = f"Story prompt: {phrase}\n\nStory:"
inputs = tokenizer.encode(prompt, return_tensors="pt")

with torch.no_grad():
    outputs = model.generate(
        inputs,
        max_length=200,
        temperature=0.8,
        do_sample=True,
        pad_token_id=tokenizer.eos_token_id
    )

story = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(story.split("Story:")[-1].strip())

Training Details

This model was fine-tuned on a curated dataset of phrase-to-story pairs, focusing on:

  • Fantasy and adventure themes
  • Creative narrative development
  • Coherent story structure
  • Engaging character development

Sample Outputs

Input: "magical forest adventure" Output: A captivating story about enchanted forests, mystical creatures, and heroic journeys.

Input: "space exploration mission" Output: An exciting tale of cosmic discovery, alien encounters, and interstellar adventures.

Model Performance

  • Generates coherent stories of 50-200 words
  • Maintains thematic consistency with input phrases
  • Creates engaging narrative arcs
  • Demonstrates creative language use

Updates

  • Latest: 2025-09-03 11:39:58 - Updated model with improved training
  • Version: 2.0
  • Training Data: Enhanced with high-quality story examples

Limitations

  • Best results with 1-4 word input phrases
  • English language only
  • Creative fiction focus (not factual content)
  • May require multiple generations for optimal results

Ethical Considerations

This model is designed for creative writing assistance and entertainment. Users should:

  • Review generated content for appropriateness
  • Not rely on outputs for factual information
  • Use responsibly for creative purposes

Created by yashu16 | GitHub | Hugging Face

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