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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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