Quickstart

This quickstart demonstrates how to build a text summarization application with a Transformer model from the Hugging Face Model Hub.

Prerequisites

Python 3.8+ and pip installed. See the Python downloads page to learn more.

Get started

Perform the following steps to run this project and deploy it to BentoCloud.

1. Clone the repository:

   git clone https://github.com/bentoml/quickstart.git
   cd quickstart

2. Install the required dependencies:

   pip install -r requirements.txt

3. Serve your model as an HTTP server. This starts a local server at http://localhost:3000, making your model accessible as a web service.

   bentoml serve

4. Once your Service is ready, you can deploy it to BentoCloud. Make sure you have logged in to BentoCloud and run the following command to deploy it.

   bentoml deploy
   

   Note: Alternatively, you can manually build a Bento, containerize it with Docker, and deploy it in any Docker-compatible environment.

For more information, see the Hello World example in the BentoML documentation.