I already have a code and a working model - it runs locally - but i'd like to make it into a web application - I have flask files to work on heroku - however Heroku cannot host 1.2 gig Bert (its a scibert - can't do [login to view URL]). I have tried s3 bucket.
The ml project is creating highlights from science papers. It is made out of sci bert.
So we have 1. Flask front end files - its a form with a button that returns highlights
2. ML files 3. Model and bert on s3.
I would like to have a working web version that allows to call a hosted bert model
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hi, I have deployed Bert based models in production and created api for it. You mentioned scibert file size is 1.2 gb, so I think you are using the tensorflow model not the pytorch model. Can we discuss further?
Hi , I can help you to develop web application for Bert model. I am currently workiing as Technical Lead and developing AI based application using mainly Python and Java. Thanks
According to the description all you need is to serve the model on web and get responses for the requests sent through flask right? I have expertise on hosting ML models on web, I can surely do this