Helsinki-NLP / opus-mt-en-de

huggingface.co
Total runs: 202.8K
24-hour runs: -833
7-day runs: -27.5K
30-day runs: 10.4K
Model's Last Updated: August 16 2023
translation

Introduction of opus-mt-en-de

Model Details of opus-mt-en-de

opus-mt-en-de
Table of Contents
Model Details

Model Description:

  • Developed by: Language Technology Research Group at the University of Helsinki
  • Model Type: Translation
  • Language(s):
    • Source Language: English
    • Target Language: German
  • License: CC-BY-4.0
  • Resources for more information:
Uses
Direct Use

This model can be used for translation and text-to-text generation.

Risks, Limitations and Biases

CONTENT WARNING: Readers should be aware this section contains 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 et al. (2021) ).

Further details about the dataset for this model can be found in the OPUS readme: en-de

Training Data
Preprocessing
Evaluation
Results
Benchmarks
testset BLEU chr-F
newssyscomb2009.en.de 23.5 0.540
news-test2008.en.de 23.5 0.529
newstest2009.en.de 22.3 0.530
newstest2010.en.de 24.9 0.544
newstest2011.en.de 22.5 0.524
newstest2012.en.de 23.0 0.525
newstest2013.en.de 26.9 0.553
newstest2015-ende.en.de 31.1 0.594
newstest2016-ende.en.de 37.0 0.636
newstest2017-ende.en.de 29.9 0.586
newstest2018-ende.en.de 45.2 0.690
newstest2019-ende.en.de 40.9 0.654
Tatoeba.en.de 47.3 0.664
Citation Information
@InProceedings{TiedemannThottingal:EAMT2020,
  author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
  title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
  booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
  year = {2020},
  address = {Lisbon, Portugal}
 }
How to Get Started With the Model
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-de")

model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-de")

Runs of Helsinki-NLP opus-mt-en-de on huggingface.co

202.8K
Total runs
-833
24-hour runs
-148
3-day runs
-27.5K
7-day runs
10.4K
30-day runs

More Information About opus-mt-en-de huggingface.co Model

More opus-mt-en-de license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

opus-mt-en-de huggingface.co

opus-mt-en-de huggingface.co is an AI model on huggingface.co that provides opus-mt-en-de's model effect (), which can be used instantly with this Helsinki-NLP opus-mt-en-de model. huggingface.co supports a free trial of the opus-mt-en-de model, and also provides paid use of the opus-mt-en-de. Support call opus-mt-en-de model through api, including Node.js, Python, http.

Helsinki-NLP opus-mt-en-de online free

opus-mt-en-de huggingface.co is an online trial and call api platform, which integrates opus-mt-en-de's modeling effects, including api services, and provides a free online trial of opus-mt-en-de, you can try opus-mt-en-de online for free by clicking the link below.

Helsinki-NLP opus-mt-en-de online free url in huggingface.co:

https://huggingface.co/Helsinki-NLP/opus-mt-en-de

opus-mt-en-de install

opus-mt-en-de is an open source model from GitHub that offers a free installation service, and any user can find opus-mt-en-de on GitHub to install. At the same time, huggingface.co provides the effect of opus-mt-en-de install, users can directly use opus-mt-en-de installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

opus-mt-en-de install url in huggingface.co:

https://huggingface.co/Helsinki-NLP/opus-mt-en-de

Url of opus-mt-en-de

Provider of opus-mt-en-de huggingface.co

Helsinki-NLP
ORGANIZATIONS

Other API from Helsinki-NLP