README.md

from transformers import BartTokenizer, BartForConditionalGeneration, BartConfig

model = BartForConditionalGeneration.from_pretrained('facebook/bart-large-cnn') tokenizer = BartTokenizer.from_pretrained('facebook/bart-large-cnn')

ARTICLE_TO_SUMMARIZE = "My friends are cool but they eat too many carbs." inputs = tokenizer([ARTICLE_TO_SUMMARIZE], max_length=1024, return_tensors='pt')

Generate Summary

summary_ids = model.generate(inputs['input_ids'], num_beams=4, max_length=5, early_stopping=True) print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])