README.md

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language:
- en
- de
---
# Word2Vec-Finetuning-Service-Base-Models

This directory contains base models for Word2Vec Finetuning Service. The Github repo of the main service is ...

## Model Description

|Model Name|Description|Source|
|:-|:-|:-|
|DE_Wiki|A selftrained German Word2Vec model based on German Wikipedia articles.||  
|EN_Wiki|An English Word2Vec model based on English Wikipedia articles.|https://zenodo.org/record/6542975|
|DE_AT|A German Word2Vec model based on DE_Wiki, trained on the basis of Austrian public web content in 2019.|https://wortschatz.uni-leipzig.de/en/download/German|
|DE_CH|A German Word2Vec model based on DE_Wiki, trained on the basis of Swiss public web content in 2019.|https://wortschatz.uni-leipzig.de/en/download/German|
|DE_Positive|A German Word2Vec model based on DE_Wiki, trained on the basis of a list with positive words with regards to sentimental aspect of human beings.|https://wortschatz.uni-leipzig.de/de/download|
|DE_Negative|A German Word2Vec model based on DE_Wiki, trained on the basis of a list with negative words with regards to sentimental aspect of human beings.|https://wortschatz.uni-leipzig.de/de/download|
|DE_News|A German Word2Vec model based on DE_Wiki, trained on the basis of German newspaper content in 2022.|https://wortschatz.uni-leipzig.de/en/download/German#deu_news_2022|
|EN_AU|An English Word2Vec model based on EN_Wiki, trained on the basis of Australian web content in 2020.|https://wortschatz.uni-leipzig.de/en/download/English|
|EN_CA|An English Word2Vec model based on EN_Wiki, trained on the basis of Canadian web content in 2020.|https://wortschatz.uni-leipzig.de/en/download/English|
|EN_GB|An English Word2Vec model based on EN_Wiki, trained on the basis of web content in 2002 from the Great Britain.|https://wortschatz.uni-leipzig.de/en/download/English|
|EN_ZA|An English Word2Vec model based on EN_Wiki, trained on the basis of South African web content in 2020.|https://wortschatz.uni-leipzig.de/en/download/English|