Create README.md

README.md

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+---
+language:
+- en
+pipeline_tag: translation
+metrics:
+- f1
+tags:
+- grammatical error correction
+- GEC
+- italian
+---
+
+This is a fine-tuned version of Multilingual Bart trained on English in particular on the public dataset FCE for Grammatical Error Correction.
+
+To initialize the model:
+
+    
+    from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
+    model = MBartForConditionalGeneration.from_pretrained("MRNH/finetuned-mbart-en-gec")
+    
+    
+To generate text using the model:
+
+    
+    tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/finetuned-mbart-en-gec", 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"])