Update README.md

README.md

@@ -44,13 +44,13 @@ model = AutoModelForSeq2SeqLM.from_pretrained("shihab17/en-to-bn-sentence-transl
 
 sentence = 'ম্যাচ শেষে পুরস্কার বিতরণের মঞ্চে তামিমের মুখে মোস্তাফিজের প্রশংসা শোনা গেল'
 
-translator = pipeline("translation_bn_to_en", model=model, tokenizer=tokenizer)
+translator = pipeline("translation_en_to_bn", model=model, tokenizer=tokenizer)
 output = translator(sentence)
 print(output)
 ```
 
 
-# bengali-bn-to-en
+# bengali-en-to-bn
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-bn-en](https://huggingface.co/Helsinki-NLP/opus-mt-bn-en) on the kde4 dataset.
 It achieves the following results on the evaluation set: