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As per RASA DietClassifer architecture, it uses transformer before CRF. Also, it optionally can use SpacyNLP. Despite such a complex model with so many layers the execution speed of RASA is very good.
Transformers are known for their heavy weight and slowness. Then how is RASA DietClassifer so fast?

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