| Supervised training | |
| thon | |
| from transformers import PLBartForConditionalGeneration, PLBartTokenizer | |
| tokenizer = PLBartTokenizer.from_pretrained("uclanlp/plbart-base", src_lang="en_XX", tgt_lang="python") | |
| example_python_phrase = "def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])" | |
| expected_translation_english = "Returns the maximum value of a b c." | |
| inputs = tokenizer(example_python_phrase, text_target=expected_translation_english, return_tensors="pt") | |
| model(**inputs) | |
| Generation | |
| While generating the target text set the decoder_start_token_id to the target language id. |