# News domain optimization

A Hungarian named entity recognition model fine-tuned on the NerKor+CARS-ONPP corpus, based on the SZTAKI-HLT/hubert-base-cc pre-trained model, supporting over 30 entity types.

A 4.7 billion parameter multilingual encoder-decoder model supporting translation from 7 languages to English

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 Transformer-based multilingual-to-English machine translation model supporting over 50 Indo-European languages.

This is a Transformer-based multilingual translation model that supports translation tasks from Baltic languages (including Latvian, Lithuanian, etc.) to English.

A Transformer-based French-to-English neural machine translation model developed by the Helsinki-NLP team, trained on the OPUS multilingual dataset.

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from various West Germanic languages to English.

This is a multilingual machine translation model based on the Transformer architecture, supporting translation from English to various Slavic languages.

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

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from English to various Sino-Tibetan languages.

This is a multilingual machine translation model based on Transformer architecture, supporting translation tasks from English to 15 Finno-Ugric languages.