---
library_name: transformers
pipeline_tag: translation
language:
- bn
---
### How to use

You can use this model directly with a pipeline:


```python
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("shihab17/bengali-bn-to-en")
model = AutoModelForSeq2SeqLM.from_pretrained("shihab17/bengali-bn-to-en")

sentence = 'ম্যাচ শেষে পুরস্কার বিতরণের মঞ্চে তামিমের মুখে মোস্তাফিজের প্রশংসা শোনা গেল'

translator = pipeline("translation_bn_to_en", model=model, tokenizer=tokenizer)
output = translator(sentence)
print(output)
```