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--- |
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language: en |
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license: apache-2.0 |
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datasets: |
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- xsum |
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tags: |
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- summarization |
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--- |
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# Roberta2Roberta_L-24_bbc EncoderDecoder model |
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The model was introduced in |
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[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/roberta24_bbc/1). |
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The model is an encoder-decoder model that was initialized on the `roberta-large` checkpoints for both the encoder |
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and decoder and fine-tuned on extreme summarization on the BBC XSum dataset, which is linked above. |
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Disclaimer: The model card has been written by the Hugging Face team. |
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## How to use |
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You can use this model for extreme summarization, *e.g.* |
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```python |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_bbc") |
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model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_bbc") |
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article = """The problem is affecting people using the older |
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versions of the PlayStation 3, called the "Fat" |
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model.The problem isn't affecting the newer PS3 |
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Slim systems that have been on sale since |
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September last year.Sony have also said they are |
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aiming to have the problem fixed shortly but is |
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advising some users to avoid using their console |
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for the time being."We hope to resolve this |
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problem within the next 24 hours," a statement |
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reads. "In the meantime, if you have a model other |
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than the new slim PS3, we advise that you do not |
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use your PS3 system, as doing so may result in |
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errors in some functionality, such as recording |
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obtained trophies, and not being able to restore |
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certain data."We believe we have identified that |
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this problem is being caused by a bug in the clock |
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functionality incorporated in the system."The |
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PlayStation Network is used by millions of people |
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around the world.It allows users to play their |
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friends at games like Fifa over the internet and |
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also do things like download software or visit |
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online stores.""" |
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input_ids = tokenizer(article, return_tensors="pt").input_ids |
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output_ids = model.generate(input_ids)[0] |
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print(tokenizer.decode(output_ids, skip_special_tokens=True)) |
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# should output |
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# Some Sony PlayStation gamers are being advised to stay away from the network because of a problem with the PlayStation 3 network. |
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``` |
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