Skip to main content

Easy training and deployment of seq2seq models.

Project description

Headliner is a sequence modeling library that eases the training and in particular, the deployment of custom sequence models for both researchers and developers. You can very easily deploy your models in a few lines of code. It was originally built for our own research to generate headlines from news articles. That’s why we chose the name, Headliner. Although this library was created internally to generate headlines, you can also use it for other tasks like machine translations, text summarization and many more.

Read the documentation at: https://as-ideas.github.io/headliner/

Headliner is compatible with Python 3.6+ and is distributed under the MIT license.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for headliner, version 1.0.2
Filename, size File type Python version Upload date Hashes
Filename, size headliner-1.0.2-py3-none-any.whl (65.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size headliner-1.0.2.tar.gz (29.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page