Shoriful025/basic_text_generator

Basic Text Generator

Overview

This is a fine-tuned GPT-2 model for general text generation. It can continue prompts, generate stories, or create coherent paragraphs based on input text. Trained on a diverse corpus for broad applicability.

Model Architecture

• Base Model: GPT-2
• Layers: 12
• Hidden Size: 768
• Attention Heads: 12
• Context Window: 1024 tokens

Intended Use

Suitable for creative writing, content generation, or prototyping language-based applications.

Limitations

• May generate biased or inappropriate content based on training data.
• Outputs can be repetitive or nonsensical for long generations.
• Not optimized for specific domains like code or math.

Example Code

from transformers import pipeline

generator = pipeline("text-generation", model="user/basic-text-generator")
result = generator("Once upon a time,", max_length=50)
print(result[0]['generated_text'])
# "Once upon a time, in a land far away..."