# Text Matching

French sentence embedding model based on CamemBERT, fine-tuned on the stsb dataset using enhanced SBERT method, achieving state-of-the-art French sentence similarity calculation

Korean sentence embedding model optimized based on BERT architecture for calculating sentence semantic similarity

This model is a PyTorch pretrained model obtained by converting TensorFlow checkpoints from the official Google BERT repository, trained on the MNLI dataset for natural language inference tasks.

A text classification model fine-tuned on the GLUE QNLI dataset based on bert-base-cased, achieving 90.99% accuracy

This model is a fine-tuned version of XLMR-ENIS on the GLUE dataset, specifically designed for sentence similarity tasks, with outstanding performance on the STSB subset.

A text classification model fine-tuned on the GLUE MRPC dataset based on bert-large-cased

A text similarity calculation model fine-tuned on the GLUE STSB dataset based on bert-base-cased

A text classification model fine-tuned on the GLUE MNLI dataset based on ALBERT-base-v2, designed for natural language inference tasks