https://github.com/bentoml/quickstart

BentoML Quickstart Example

https://github.com/bentoml/quickstart

Science Score: 26.0%

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Last synced: 10 months ago · JSON representation

Repository

BentoML Quickstart Example

Basic Info
  • Host: GitHub
  • Owner: bentoml
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 36.1 KB
Statistics
  • Stars: 8
  • Watchers: 4
  • Forks: 5
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

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:

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

  1. Install BentoML and the required dependencies for the model.

bash pip install bentoml torch transformers

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

bash bentoml serve

  1. 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.

Owner

  • Name: BentoML
  • Login: bentoml
  • Kind: organization
  • Location: San Francisco

The most flexible way to serve AI models in production

GitHub Events

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Last Year
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Last synced: 10 months ago

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  • Pull requests: 2
  • Average time to close issues: N/A
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Top Authors
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  • Sherlock113 (9)
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Dependencies

requirements.txt pypi
  • bentoml *
  • torch *
  • transformers *