# RoBERTa-based

This is a Korean sentence embedding model based on sentence-transformers, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.

A RoBERTa-based Spanish Q&A model fine-tuned on the squad_es dataset, suitable for Spanish reading comprehension tasks

CamemBERT is a French language model based on RoBERTa, this version was trained on 4GB of Wikipedia text

This is a Korean sentence embedding model based on sentence-transformers, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.

RoBERTa model trained on Korean dataset for sentence intent understanding tasks