In this tutorial, we will come up with A simple, quick solution to deploy an NLP project and challenges you may face during the process.
A simple, quick solution to deploy an NLP project and challenges you may face during the process.
Very often, as a data scientist, you may be faced with a task that includes a complete pipeline: from the data collection up to deploy the app on the server. I bumped into such an odd job in the interview process during the job search. The focus was not to develop the most accurate or most complex model but to show a good grasp of Machine Learning and the NLP concept.
In this article, I will show you how to deploy a Bert model and preprocessing pipeline. To deploy the application, I used the Heroku server and the Flask Python framework.
Task and problem description.
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