Transformers
Safetensors
t5
text2text-generation
question-generation
flan-t5
text-generation-inference
Instructions to use Gauravgupta8566/horror-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gauravgupta8566/horror-question-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gauravgupta8566/horror-question-generator") model = AutoModelForSeq2SeqLM.from_pretrained("Gauravgupta8566/horror-question-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Horror Question Generator
Fine-tuned FLAN-T5-small model for generating Python coding questions for an AI horror game.
Input
The model receives:
- programming topic
- difficulty
- detected objects
- hunter distance
- generator repair stage
- Python code
Output
One concise natural-language Python coding question.
Example
Input:
Topic: array_indexing
Difficulty: hard
Python code:
arr = [4, 2, 5, 7] result = arr[2]
Output:
What value will arr[2] return?
Intended Use
This model is used as the question-generation component of an AI-powered horror game.
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