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CTION-QA
hariprabhakaran45/CTION-QA
CTION-QA is a question answering model from hariprabhakaran45. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
A Question Answering (Q&A) model is a transformer-based NLP model trained to understand a given context and accurately extract or generate answers to user questions from that text. It is fine-tuned on the SQuAD 2.0 da…
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 15, 2025
- SHA
- 803175b3
Try a prompt
Model card
From the Hugging Face model README
CTION-QA: Question Answering Model
Model Description
A Question Answering (Q&A) model is a transformer-based NLP model trained to understand a given context and accurately extract or generate answers to user questions from that text. It is fine-tuned on the SQuAD 2.0 dataset for extractive question answering.
Performance
| Metric | Score |
|---|---|
| Exact Match | 76.9 |
| F1 Score | 79.8 |
| Context Length | 512 |
Usage
from transformers import pipeline
qa = pipeline(
"question-answering",
model="hariprabhakaran45/CTION-QA"
)
result = qa(
question="Who is the Eiffel Tower named after?",
context="The Eiffel Tower is named after Gustave Eiffel."
)
print(result["answer"])
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Dec 13, 2025
- Updated
- Dec 15, 2025