| ```py | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| tokenizer = AutoTokenizer.from_pretrained("sobamchan/bart-large-scitldr") | |
| model = AutoModelForSeq2SeqLM.from_pretrained("sobamchan/bart-large-scitldr") | |
| text = "Abstract of a paper." | |
| batch = tok(text, return_tensors="pt") | |
| generated_ids = model.generate(batch["input_ids"]) | |
| print(tok.batch_decode(generated_ids, skip_special_tokens=True)) | |
| ``` |