Contributors: Vincent Gurgul, Shih-Chi Ma, Iliyana Tarpova (Team 7)
Course: Information Systems Seminar
Institute: Humboldt University Berlin, Chair of Information Systems
Lecturer: Prof. Dr. Stefan Lessmann
Semester: WS 2021/22
Submission Date: February 13, 2022

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├── 1_Transformer_Introduction    # notebook and files on transformers in general
├── 2_Keyword_Extraction          # notebook and files on keyword extraction
├── 3_Text_Generation             # notebook and files on text generation
├── 4_Machine_Translation         # notebook and files on machine translation
└── README.md                     # this readme file

This repository contains resources on python libraries for keyword extraction, text generartion and machine translation that are based on transformer networks.

First: Decide if you want to run the notebook in Colab or in Jupyter

Step 1: Download this repository to your machine

$ git clone https://github.com/VincentGurgul/transformers.git

… or as .zip file in the top right corner of the GitHub web application

Step 2: Open Google Drive and upload the repository

Step 3: Double click on your desired notebook to open Colab

Step 1: Download this repository to your machine

$ git clone https://github.com/VincentGurgul/transformers.git

Step 2: Install requirements for the notebook your want to run, e.g. Machine Translation

$ cd 4_Machine_Translation
$ pip install -r requirements.txt

Step 3: Launch jupyter lab or jupyter notebook

$ jupyter lab Machine_Translation.ipynb