 Model Details  Neural machine translation model for translating from Italic languages (itc) to Turkish (tr).  This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train). **Model Description:** - **Developed by:** Language Technology Research Group at the University of Helsinki - **Model Type:** Translation (transformer-big) - **Release**: 2022-07-28 - **License:** CC-BY-4.0 - **Language(s):**     - Source Language(s): cat fra glg ita lad lad_Latn oci por ron spa   - Target Language(s): tur   - Language Pair(s): cat-tur fra-tur glg-tur ita-tur oci-tur por-tur ron-tur spa-tur   - Valid Target Language Labels:  - **Original Model**: [opusTCv20210807_transformer-big_2022-07-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-tur/opusTCv20210807_transformer-big_2022-07-28.zip) - **Resources for more information:**   - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)   - More information about released models for this language pair: [OPUS-MT itc-tur README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-tur/README.md)   - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)   - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/  