ixa-ehu/berteus-base-cased

This is the Basque language pretrained model presented in Give your Text Representation Models some Love: the Case for Basque . The training corpus contains 224.6 million tokens, of which 35 million come from the Wikipedia .BERTeus has been tested on four different downstream tasks for Basques: part-of-speech (POS) tagging, named entity recognition (NER), sentiment analysis and topic classification . The model has been trained on a Basque corpus comprising Basque crawled news articles from online newspapers and Basque Wikipedia . If using this model, please cite the following paper: The paper, published in 2020, is published by Rodrigo Agerri and Iün,