Helsinki-NLP / opus-mt-zh-en

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Total runs: 429.7K
24-hour runs: 1.2K
7-day runs: 62.9K
30-day runs: -123.0K
Model's Last Updated: August 16 2023
translation

Introduction of opus-mt-zh-en

Model Details of opus-mt-zh-en

zho-eng
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: Chinese
    • Target Language: English
  • 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: zho-eng

Training
System Information
  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
  • port_machine: brutasse
  • port_time: 2020-08-21-14:41
  • src_multilingual: False
  • tgt_multilingual: False
Training Data
Preprocessing
Evaluation
Results
Benchmarks
testset BLEU chr-F
Tatoeba-test.zho.eng 36.1 0.548
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-zh-en")

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

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

429.7K
Total runs
1.2K
24-hour runs
23.1K
3-day runs
62.9K
7-day runs
-123.0K
30-day runs

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opus-mt-zh-en install

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

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