README.md · SLPG/Biomedical_French_to

metadata

pipeline_tag: translation
library_name: transformers

Biomedical French to English Neural Machine Translation

Source language: fr
Target language: en
Training dataset: WMT20, Cochrane bilingual parallel corpus, Taus Corona Crisis corpus, Mlia Covid corpus
Development set: Medline 18, Medline 19
Test set: Medline 20
Model: transformer
Pre-processing: SentencePiece

Benchmark

Test set	BLEU
Medline20	35.8

How to use this Model?

This model can be accessed via git clone:

git clone https://huggingface.co/SLPG/Biomedical_French_to_English

You can use Fairseq library to access the model for translations:
```
from fairseq.models.transformer import TransformerModel
```

Load the model

model = TransformerModel.from_pretrained('path/to/model')

Set the model to evaluation mode
```
model.eval()
```

Perform inference

input_text = 'Hello, how are you?'
output_text = model.translate(input_text)
print(output_text)

Citation

If you use our model, kindly cite our paper:

  @inproceedings{xu2021lisn,
  title={LISN@ WMT 2021},
  author={Xu, Jitao and Rauf, Sadaf Abdul and Pham, Minh Quang and Yvon, Fran{\c{c}}ois},
  booktitle={6th Conference on Statistical Machine Translation},
  year={2021}
  }