anjalisibu28/t5-form-question-generator

T5 Form Question Generator (Fine-Tuned)

This model, anjalisibu28/t5-form-question-generator, is a fine-tuned version of t5-small on a custom dataset of 1000+ structured form field → question pairs.

It is built to generate natural-sounding questions from form fields such as:

• full_name → What is your full name?
• blood_group → What is your blood group?
• fathers_occupation → What does your father do for a living?

Authors

This project was developed by:

• Anjali Mishra

Intended Use

This model is ideal for:

• Preprocessing automation in offline form-filling apps
• Conversational bots that collect structured data
• Assistive agents for field-level prompt generation

How to Use

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("anjalisibu28/t5-form-question-generator")
model = AutoModelForSeq2SeqLM.from_pretrained("anjalisibu28/t5-form-question-generator")

field = "passport_number"
input_text = "generate question: " + field

inputs = tokenizer(input_text, return_tensors='pt')
outputs = model.generate(**inputs, max_length=64)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Info

• Base Model: t5-small
• Dataset: Custom CSV with 1000+ rows
• Epochs: 5
• Max length: 64 tokens
• Trained using: Transformers + Datasets on Google Colab

License

Apache-2.0

Contact

For feedback or collaboration, reach out to anjali mishra via Hugging Face