# Text similarity calculation

Multilingual E5 large pooled model supporting sentence similarity calculation and feature extraction tasks in multiple languages.

Jina Embeddings V3 is a multilingual sentence embedding model supporting over 100 languages, focusing on sentence similarity calculation and feature extraction tasks.

A Japanese text embedding model created by merging E5 Mistral 7B Instruct and Japanese StableLM Base Gamma 7B, focusing on sentence similarity tasks

French sentence embedding model based on Camembert-base for calculating sentence similarity

Persian (ZWNJ) sentence embedding model based on RoBERTa architecture for generating sentence-level feature representations

A text similarity calculation model fine-tuned on the STS-B dataset based on RoBERTa-large

DeCLUTR-base is a universal sentence encoder model trained through deep contrastive learning for generating high-quality text representations.

DeCLUTR-small is a general-purpose sentence encoder model based on deep contrastive learning for generating high-quality sentence embeddings.