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Hana Nguyen CV Question-Answering Model
This model is fine-tuned on DistilBERT to answer questions about Hana Nguyen's CV and portfolio.
Model Description
- Base Model: distilbert-base-uncased-distilled-squad
- Task: Question Answering
- Domain: CV/Resume Information
- Language: English
Usage
from transformers import pipeline
qa_pipeline = pipeline("question-answering", model="Hananguyen12/hana-cv-qa")
# Example questions
questions = [
"What is Hana's current job?",
"What programming languages does Hana know?",
"What is Hana's educational background?",
"What research is Hana working on?"
]
context = "Your CV context here..."
for question in questions:
result = qa_pipeline(question=question, context=context)
print(f"Q: {question}")
print(f"A: {result['answer']}")
Training Data
The model was trained on question-answer pairs generated from Hana Nguyen's portfolio data, covering:
- Personal information
- Work experience
- Education
- Skills and technologies
- Research projects
- Achievements
Performance
The model is optimized for answering questions about Hana's professional background and can handle various question types about her CV.
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