What's the best way to load a ML model with Django

Hello,

I'm deploying a Machine Learning model (Named Entity Recognition) with Django. In short, the user chooses a field (Politics or Science for example) and writes a text in a search area. Then the model identifies the named entities in the text.

My problem is that the ML model (encoder) is loaded each time the view is triggered, which slows down the process. Any idea how to optimize this and load it only once ?

My views.py :

def search_view(request): …

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