Update README.md

README.md

@@ -16,12 +16,12 @@ To initialize the model:
 
     
     from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
-    model = MBartForConditionalGeneration.from_pretrained("MRNH/mbart-english-grammatical-corrector")
+    model = MBartForConditionalGeneration.from_pretrained("MRNH/mbart-english-grammar-corrector")
     
     
 To generate text using the model:
 
     
-    tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/mbart-english-grammatical-corrector", src_lang="en_XX", tgt_lang="en_XX")
+    tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/mbart-english-grammar-corrector", src_lang="en_XX", tgt_lang="en_XX")
     input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt')
     output = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["en_XX"])