Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Deploy with FastAPI - Sentiment Analysis with BERT Using Huggingface, PyTorch, and Python Tutorial

Venelin Valkov via YouTube

Overview

Learn how to deploy a pre-trained BERT model as a REST API using FastAPI and Uvicorn. The course covers initializing a new project with pyenv and pipenv, creating a stubbed API response, adding the pre-trained BERT model to the project, and integrating model predictions into the REST API. The course aims to teach deployment skills using FastAPI and PyTorch for sentiment analysis with BERT. The intended audience includes individuals interested in machine learning, natural language processing, and deep learning, with some prior knowledge of Python and PyTorch.

Syllabus

Demo of the REST API
Initialize a new project with pyenv and pipenv
Create a stubbed API response
Add the pre-trained BERT model to our project
19:35 Reacting to a 4.5 on the Richter scale earthquake
Integrate our model predictions in the REST API

Taught by

Venelin Valkov

Reviews

Start your review of Deploy with FastAPI - Sentiment Analysis with BERT Using Huggingface, PyTorch, and Python Tutorial

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.