| Supervised training | |
| thon | |
| from transformers import MBartForConditionalGeneration, MBartTokenizer | |
| tokenizer = MBartTokenizer.from_pretrained("facebook/mbart-large-en-ro", src_lang="en_XX", tgt_lang="ro_RO") | |
| example_english_phrase = "UN Chief Says There Is No Military Solution in Syria" | |
| expected_translation_romanian = "Şeful ONU declară că nu există o soluţie militară în Siria" | |
| inputs = tokenizer(example_english_phrase, text_target=expected_translation_romanian, return_tensors="pt") | |
| model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-en-ro") | |
| forward pass | |
| model(**inputs) | |
| Generation | |
| While generating the target text set the decoder_start_token_id to the target language id. |