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Migrate model card from transformers-repo

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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/microsoft/prophetnet-large-uncased-squad-qg/README.md

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+ ---
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+ language: en
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+ datasets:
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+ - squad
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+ ---
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+
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+ ##
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+ prophetnet-large-uncased-squad-qg
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+ Fine-tuned weights(converted from [original fairseq version repo](https://github.com/microsoft/ProphetNet)) for [ProphetNet](https://arxiv.org/abs/2001.04063) on question generation
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+ SQuAD 1.1.
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+ ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction.
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+ ProphetNet is able to predict more future tokens with a n-stream decoder. The original implementation is Fairseq version at [github repo](https://github.com/microsoft/ProphetNet).
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+
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+ ### Usage
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+ ```
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+ from transformers import ProphetNetTokenizer, ProphetNetForConditionalGeneration, ProphetNetConfig
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+
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+ model = ProphetNetForConditionalGeneration.from_pretrained('microsoft/prophetnet-large-uncased-squad-qg')
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+ tokenizer = ProphetNetTokenizer.from_pretrained('microsoft/prophetnet-large-uncased-squad-qg')
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+
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+ FACT_TO_GENERATE_QUESTION_FROM = ""Bill Gates [SEP] Microsoft was founded by Bill Gates and Paul Allen on April 4, 1975."
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+
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+ inputs = tokenizer([FACT_TO_GENERATE_QUESTION_FROM], return_tensors='pt')
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+
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+ # Generate Summary
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+ question_ids = model.generate(inputs['input_ids'], num_beams=5, early_stopping=True)
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+ tokenizer.batch_decode(question_ids, skip_special_tokens=True)
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+
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+ # should give: 'along with paul allen, who founded microsoft?'
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+ ```
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+ ### Citation
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+ ```bibtex
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+ @article{yan2020prophetnet,
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+ title={Prophetnet: Predicting future n-gram for sequence-to-sequence pre-training},
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+ author={Yan, Yu and Qi, Weizhen and Gong, Yeyun and Liu, Dayiheng and Duan, Nan and Chen, Jiusheng and Zhang, Ruofei and Zhou, Ming},
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+ journal={arXiv preprint arXiv:2001.04063},
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+ year={2020}
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+ }
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+ ```