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