Helsinki-NLP/opus-mt-tc-big-ko-en
translation model by Helsinki-NLP
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Model card & documentation
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Neural machine translation model for translating from Korean (ko) 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. Model Description: This model can be used for translation and text-to-text generation. CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender…
Read the full model card ↗ · Preview checked 2026-10-27T16:33:40.945Z
Inside the original model card — Document outline
- opus-mt-tc-big-ko-en
- Table of Contents
- Model Details
- Uses
- Risks, Limitations and Biases
- How to Get Started With the Model
- Training
- Evaluation
- Citation Information
- Acknowledgements
- Model conversion info
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Model overview
Helsinki-NLP/opus-mt-tc-big-ko-en is a translation model repository published by Helsinki-NLP on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- transformers
- Recent downloads (30 days)
- 100,720
- Cumulative likes
- 16
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 209,158,401
- Architecture
- MarianMTModel
- License
- cc-by-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-08-12T08:19:11.000Z
- Last modified
- 2023-10-10T10:36:09.000Z
Compatibility and lineage
Reported languages: en, ko
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.