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[model_cards] Facebook: add thumbnail
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- summarization
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license: mit
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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license: mit
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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license: mit
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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The Bart model was proposed by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov and Luke Zettlemoyer on 29 Oct, 2019. According to the abstract,
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Bart uses a standard seq2seq/machine translation architecture with a bidirectional encoder (like BERT) and a left-to-right decoder (like GPT).
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---
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license: apache-2.0
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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## RAG
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This is a non-finetuned version of the RAG-Sequence model of the the paper [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/pdf/2005.11401.pdf)
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license: apache-2.0
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datasets:
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- wiki_dpr
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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## RAG
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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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- wiki_dpr
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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## RAG
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This is a non-finetuned version of the RAG-Token model of the the paper [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/pdf/2005.11401.pdf)
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license: apache-2.0
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datasets:
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- wiki_dpr
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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## RAG
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language:
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- de
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- wmt19
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metrics:
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- bleu
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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# FSMT
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---
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language:
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- en
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- wmt19
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metrics:
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- bleu
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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# FSMT
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---
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language:
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- en
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- wmt19
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metrics:
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- bleu
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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# FSMT
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---
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language:
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- ru
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- wmt19
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metrics:
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- bleu
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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---
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# FSMT
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