translation

zho-eng

Table of Contents

Model Details

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

Training Data

Preprocessing

Evaluation

Results

Benchmarks

testset BLEU chr-F
Tatoeba-test.zho.eng 36.1 0.548

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")