Is it good practice to save NLP Transformer based pre-trained models into file system in production environment

Artificial Intelligence Asked by Murugesh on December 9, 2020

I have developed a multi label classifier using BERT. I’m leveraging Hugging Face Pytorch implementation for transformers.

I have saved the pretrained model into the file directory in dev environment. Now, the application is ready to be moved the production environment.

Is it a good practice to save the models into file system in prod ?
Can I serialize the model files and word embeddings into any DB and read again ?

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