Question answering

Question answering models are designed to retrieve the answer to a question from a given text, which can be particularly useful for searching for information within a document. It's worth noting that some question answering models are capable of generating answers even without any contextual information.

Example

{% tabs %} {% tab title="SQL" %}

postgresql

SELECT pgml.transform(
    'question-answering',
    inputs => ARRAY[
        '{
            "question": "Where do I live?",
            "context": "My name is Merve and I live in İstanbul."
        }'
    ]
) AS answer;

{% endtab %}

{% tab title="Result" %}

json

{
    "end"   :  39, 
    "score" :  0.9538117051124572, 
    "start" :  31, 
    "answer": "İstanbul"
}

{% endtab %} {% endtabs %}

Additional resources

Hugging Face documentation