Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker
This repository contains useful code snippets and configuration examples for fine-tuning BERT for the NER downstream task, wrapping model using Flask, and deploying as a Docker container
YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks.