The model is an encoder-decoder model that was initialized on the
roberta-large checkpoints for both the encoder
and decoder and fine-tuned on extreme summarization on the BBC XSum dataset, which is linked above.
Disclaimer: The model card has been written by the Hugging Face team.
You can use this model for extreme summarization, e.g.
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_bbc") model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_bbc") article = """The problem is affecting people using the older versions of the PlayStation 3, called the "Fat" model.The problem isn't affecting the newer PS3 Slim systems that have been on sale since September last year.Sony have also said they are aiming to have the problem fixed shortly but is advising some users to avoid using their console for the time being."We hope to resolve this problem within the next 24 hours," a statement reads. "In the meantime, if you have a model other than the new slim PS3, we advise that you do not use your PS3 system, as doing so may result in errors in some functionality, such as recording obtained trophies, and not being able to restore certain data."We believe we have identified that this problem is being caused by a bug in the clock functionality incorporated in the system."The PlayStation Network is used by millions of people around the world.It allows users to play their friends at games like Fifa over the internet and also do things like download software or visit online stores.""" input_ids = tokenizer(article, return_tensors="pt").input_ids output_ids = model.generate(input_ids) print(tokenizer.decode(output_ids, skip_special_tokens=True)) # should output # Some Sony PlayStation gamers are being advised to stay away from the network because of a problem with the PlayStation 3 network.
Select AutoNLP in the “Train” menu to fine-tune this model automatically.
- Downloads last month