Quickstart

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

Perform the following steps to run this project.

Clone the repository:

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

Install the required dependencies:
```
pip install -r requirements.txt
```
Download the Transformer model.
```
python download_model.py
```
Serve your model as an HTTP server. This starts a local server at http://0.0.0.0:3000, making your model accessible as a web service.
```
bentoml serve service:svc
```
Build your Bento. In the BentoML framework, a Bento is a deployable artifact that contains your application's source code, models, configurations, and dependencies.
```
bentoml build
```

After your Bento is ready, you can push your Bento to BentoCloud or containerize it with Docker and deploy it on a variety of platforms.

parano/quickstart