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metadata
language:
  - it
pipeline_tag: translation

This is a fine-tuned version of Multilingual Bart trained on Italian in particular on the public dataset MERLIN for Grammatical Error Correction.

To initialize the model:

from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
model = MBartForConditionalGeneration.from_pretrained("MRNH/finetuned-mbart-it-gec", output_hidden_states=True)

To generate text using the model:

tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/finetuned-mbart-it-gec", src_lang="it_IT", tgt_lang="it_IT")
input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt')
output =    hidden_states = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"])