t5-small-ctx-qgen

T5-Small-CTX-QGEN : Contextual Question Generation Model

This repository contains a trained T5-Small model for generating questions based on contextual input.

Model Details

The model in this repository has been fine-tuned on the pre-trained T5-Small model. It takes contextual input and generates questions relevant to the context.

Inference Pipeline

You can use the pretrained model for generating questions using the transformers library's pipeline feature.

from transformers import pipeline

# Load the pretrained model for inference
model = pipeline("text2text-generation", model="nsu-intellisphere/t5-small-ctx-qgen")

# Example usage
context = "According to their estimates the universe is 13.7 billion years old with an uncertainty of 200 million years."
question = model(context)[0]['generated_text']

print(f'Context: {context}')
print(f'Question: {question}')

Example Output

• Context: According to their estimates the universe is 13.7 billion years old with an uncertainty of 200 million years.
• Generated Question: What is the universe's estimated age?