# Cross-lingual semantic matching

DRAMA-1B is a dense retrieval model based on a pruned large language model architecture, supporting multilingual text retrieval tasks.

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

This is a Tamil BERT model trained on NLI datasets for sentence similarity computation and feature extraction.

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

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

A multilingual text ranking model trained on the MMARCO dataset, supporting information retrieval tasks in 14 languages

This is a multilingual Roberta model that can generate embeddings for Bulgarian sentences. Trained based on Sentence-BERT principles with Google's USE model as the teacher model.

This is a multilingual Roberta model that can generate sentence embeddings for Bulgarian, inspired by Sentence-BERT with Google's USE model as the teacher.

A 101-language sentence representation model based on multilingual BERT, generating sentence representations through mean-pooling of word embeddings