# Multi-source corpus training

KuBERT is a Central Kurdish language model based on the BERT framework, designed to address the scarcity of Kurdish language resources and enhance computational linguistics capabilities.

Pre-trained language model specifically designed for the Spanish biomedical domain, suitable for clinical NLP tasks

A masked language model based on Nepali news data, trained on approximately 10 million Nepali sentences sourced from multiple Nepali news websites, primarily containing news content.

A Greek text generation model fine-tuned from the English GPT-2 model, jointly developed by the Hellenic Military Academy and the Technical University of Crete

A small Hebrew text generation model based on the GPT-Neo architecture, specifically designed for Hebrew text generation tasks