# Semantic feature extraction

BAAI/bge-m3 is an efficient sentence transformer model focused on feature extraction and sentence similarity calculation.

A derivative model based on shibing624/text2vec-base-chinese, replacing MacBERT with LERT while keeping other training conditions unchanged, supporting Chinese text vectorization and sentence similarity calculation.

This is a Kannada SBERT model fine-tuned on the STS dataset for calculating sentence similarity.

This is an OdiaSBERT model fine-tuned on STS dataset for Odia sentence similarity calculation

This is a sentence embedding model based on the DistilBERT architecture, specifically designed for sentence similarity tasks.

This is a Korean sentence transformer model based on KLUE-RoBERTa-small, specifically designed for sentence similarity calculation and natural language inference tasks.