Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker

Related tags

Deep Learningflask-applicationflask-apidocker-pythonbert-modeldocker-flaskhuggingfacebert-fine-tuninghuggingface-transformersbert-flask-api
Overview

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

How to use this repository:

- Install requirements

pip install -r requirements.txt

- Fine-tune BERT

python bert_ner_fine_tuning.py

- Build React UI

cd react
npm install
npm run build

- Build Docker Image

docker build -t bert-ner-fine-tuning-cloud-deployment .

- Deploy Docket Image

docker-compose -f docker-compose.yml up -d
Owner
Nikita
Team Lead Java/JVM/C++/Python/ML                     5+ years in Fintech                                 10+ years in JVM languages         
Nikita
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