# High Accuracy NLI

A Korean natural language inference model based on the DeBERTa architecture, trained on the kor-nli and klue-nli datasets, supporting zero-shot classification tasks.

A text classification model fine-tuned on the JSNLI dataset based on the Japanese RoBERTa model, excelling in natural language inference tasks

DeBERTa-v3-large model fine-tuned on GLUE MNLI dataset for natural language inference tasks, achieving 90% accuracy on the validation set

This model is a textual entailment model fine-tuned on the MNLI dataset based on PubMedBERT, specifically designed for natural language inference tasks in the biomedical domain.