# High-precision translation

An image text-to-text model built on Mistral-Small-3.1-24B-Instruct-2503, supporting multilingual processing

This is a T5-base model fine-tuned on the Helsinki-NLP/opus-100 dataset, specifically designed for English-to-Turkish translation tasks.

This is a neural machine translation model for translating Romance (roa) languages into English (en), which is part of the OPUS-MT project.

Mistral-7B instruction fine-tuned model optimized for Uzbek, supporting various NLP tasks in Uzbek and English

An English-Korean translation model trained on Llama-3-8B-it, specifically designed for translating English instruction datasets.

A translation model supporting bidirectional translation between Serbian and English

A Korean-English bidirectional translation model fine-tuned based on Gemma-7B, specializing in high-quality mutual translation tasks between Korean and English

A Romanian to English translation model fine-tuned based on Helsinki-NLP/opus-mt-roa-en, trained on 2 million records.

This is a text-to-SQL translation model trained via AutoTrain, capable of converting natural language queries into SQL statements.

A fine-tuned English-Spanish bidirectional translation model based on mbart-large-50, demonstrating excellent performance across multiple evaluation metrics

A fine-tuned model based on the Deltalm foundation within the Fengshen framework, integrating Chinese-English datasets and iwslt Chinese-English parallel corpora for English-to-Chinese translation.

A model supporting translation between English and Spanish, suitable for tasks like news commentary translation.

This is a neural machine translation model from English to Korean developed by the Language Technology Research Group at the University of Helsinki, part of the OPUS-MT project.

A neural machine translation model for translating from East Slavic languages (Belarusian, Russian, Ukrainian) to German, developed as part of the OPUS-MT project.

This is an English-to-Hebrew machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team as part of the Tatoeba Challenge project.

This is a neural machine translation model for English to Polish based on the Transformer architecture, trained by the Helsinki NLP team using the MarianNMT library.

Facebook's WMT19 English-Russian neural machine translation model based on FairSeq, utilizing Transformer architecture

This is a machine translation model based on Transformer architecture for translating from Spanish to Bulgarian, developed by the Helsinki-NLP team.

This is a machine translation model from Russian to Estonian based on the Transformer architecture, developed by the Helsinki-NLP team as part of the Tatoeba Challenge project.

This is a Ukrainian to Polish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a neural machine translation model from Russian to Bulgarian based on the Transformer architecture, developed by the Helsinki-NLP team, supporting standard Bulgarian and its Latinized variants.

This is a Bulgarian to Russian machine translation model based on Transformer architecture, released by the Helsinki-NLP team.

This is a neural machine translation model based on the Transformer architecture for translating from Bulgarian to Ukrainian, developed by the Helsinki-NLP team.

An Italian-to-English machine translation model based on Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.

This is a machine translation model from Catalan to Dutch based on the transformer-align architecture, released by Tatoeba-Challenge.

This is a Norwegian-to-Dutch machine translation model based on the transformer-align architecture, released by the Tatoeba-Challenge project.

This is a Korean-to-Spanish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a machine translation model from Basque to Spanish based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a Norwegian to Danish machine translation model based on the transformer-align architecture, supporting translation tasks from both Bokmål and Nynorsk Norwegian to Danish.

This is a Latvian to Russian machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a Russian-to-Danish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team and released under the Tatoeba-Challenge project.

This is a Transformer-based machine translation model from Spanish to Catalan, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model for Arabic to Hebrew, supporting multiple Arabic dialect variants.

This is a Bulgarian to German machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team and trained using the Tatoeba dataset.

This is a Finnish-to-English machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a machine translation model from Catalan to French based on the transformer-align architecture, released by the Tatoeba-Challenge project.

This is a machine translation model from Catalan to German based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model from Galician to Portuguese, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model from Spanish to Hebrew, released by the Helsinki-NLP team.