# RoBERTa optimization

This model is fine-tuned from klue/roberta-base using mnli and xnli datasets from kor_nli, specifically designed for Korean zero-shot classification tasks.

This is a RoBERTa model specifically designed for Serbian language, specialized in part-of-speech tagging and dependency parsing.

PhoBERT is the most advanced pretrained language model for Vietnamese, optimized based on the RoBERTa architecture, and excels in multiple Vietnamese NLP tasks.

PhoBERT is the most advanced pretrained language model for Vietnamese, optimized based on RoBERTa's BERT pretraining process, achieving excellent performance in multiple Vietnamese NLP tasks.

BERTweet is the first publicly available language model specifically pretrained on English tweets, built upon the RoBERTa pretraining approach.

A fake news detection model trained based on the RoBERTa architecture, which determines the authenticity of news by analyzing its textual content.

This model is a text classification model fine-tuned on the Amazon multilingual reviews dataset based on roberta-base-bne, primarily used for sentiment analysis of Spanish comments.