opus-mt-tc-big-ko-en

モデル紹介

- Model Details - Uses - Risks, Limitations and Biases - How to Get Started With the Model - Training - Evaluation - Citation Information - Acknowledgements 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:** - **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): kor - Target Language(s): eng - **Original Model**: opusTCv20210807-sepvoc_transformer-big_2022-07-28.zip - **Resources for more information:** - OPUS-MT-train GitHub Repo - More information about released models for this language pair: OPUS-MT kor-eng README - More information about MarianNMT models in the transformers library - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

よくある質問

出典と追跡記録

许可证：cc-by-4.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。