GitHub - williyam-m/AI-BOT_deepset_roberta-base-squad2_Q-A_Model: Developed a real-time question-answering web application utilizing Hugging Face’s deepset/roberta-base-squad2 model, achieving 79.87% accuracy with minimal latency

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Developed a real-time question-answering web application utilizing Hugging Face’s deepset/roberta-base-squad2 model, achieving 79.87% accuracy with minimal latency

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.idea		.idea
static		static
templates		templates
app.py		app.py
requirements.txt		requirements.txt

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Developed a real-time question-answering web application utilizing Hugging Face’s deepset/roberta-base-squad2 model, achieving 79.87% accuracy with minimal latency

python flask tensorflow session transformer

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