---
license: apache-2.0
language:
- vi
- en
metrics:
- bleu
base_model:
- NlpHUST/t5-vi-en-base
pipeline_tag: translation
---


# Machine translation for ancient Vietnamese

## How to use

```python
from transformers import T5ForConditionalGeneration, T5Tokenizer

model = T5ForConditionalGeneration.from_pretrained("huyg1108/t5-ancient_vie-eng-base")
tokenizer = T5Tokenizer.from_pretrained("huyg1108/t5-ancient_vie-eng-base", legacy=False)
model.eval()

src = "Đạo chi vi vật, duy hoảng duy hốt."
tokenized_text = tokenizer.encode(src, return_tensors="pt")
summary_ids = model.generate(
  tokenized_text,
  max_length=64,
  num_beams=7,
  repetition_penalty=2.5,
  length_penalty=1.0,
  early_stopping=True
)

output = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
output
```
The Way governs things, only they are alarmed and sudden.