CLAck/vi-en

This is a finetuning of a MarianMT pretrained on Chinese-English. The target language pair is Vietnamese-English.

Example

%%capture
!pip install transformers transformers[sentencepiece]

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
# Download the pretrained model for English-Vietnamese available on the hub
model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/vi-en")

tokenizer = AutoTokenizer.from_pretrained("CLAck/vi-en")

sentence = your_vietnamese_sentence
# This token is needed to identify the source language
input_sentence = "<2vi> " + sentence 
translated = model.generate(**tokenizer(input_sentence, return_tensors="pt", padding=True))
output_sentence = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]

Training results

Epoch	Bleu
1.0	21.3180
2.0	26.8012
3.0	29.3578
4.0	31.5178
5.0	32.8740