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

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

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 Quickstart in the BentoML documentation.