Turkish-to-English translation
Hub data records the translation pipeline with tr and en tags, and the model card states Turkish-to-English neural machine translation.
Open Source Model Profile · Helsinki-NLP
opus-mt-tc-big-tr-en is a Marian Turkish-to-English translation model from Helsinki-NLP. Safetensors metadata reports about 235M parameters for the transformer-big system.
opus-mt-tc-big-tr-en is published by Helsinki-NLP as a Marian translation model. The captured configuration identifies MarianMTModel with model type marian, and Safetensors metadata reports 234,843,876 parameters. According to the model card, it translates Turkish to English as part of the OPUS-MT project.
Hub data records the translation pipeline with tr and en tags, and the model card states Turkish-to-English neural machine translation.
Captured configuration records MarianMTModel with model type marian, about 235M parameters, and Transformers support.
According to the model card, the model belongs to OPUS-MT, was originally trained with Marian NMT on OPUS data, and uses SentencePiece spm32k tokenization.
Card data records cc-by-4.0 for this model.
Source: Helsinki-NLP/opus-mt-tc-big-tr-en
Captured: Unknown. Processed: 2026-09-07T19:34:31.486666+00:00.
opus-mt-tc-big-tr-en Neural machine translation model for translating from Turkish (tr) to English (en). This model is part of the OPUS-MT project , 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 , 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 and training pipelines use the procedures of OPUS-MT-train . Publications: OPUS-MT – Building open translation services f…
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