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"Paraphrase Generation with BART: This project aims to build a paraphrase generation model using the BART (Bidirectional and Auto-Regressive Transformers) model from the Hugging Face library. The model is trained on the 'HHousen/ParaSCI' dataset, which contains pairs of sentences, each pair consisting of an original sentence and its paraphrase.

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paraphraser

"Paraphrase Generation with BART: This project aims to build a paraphrase generation model using the BART (Bidirectional and Auto-Regressive Transformers) model from the Hugging Face library. The model is trained on the 'HHousen/ParaSCI' dataset, which contains pairs of sentences, each pair consisting of an original sentence and its paraphrase.

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"Paraphrase Generation with BART: This project aims to build a paraphrase generation model using the BART (Bidirectional and Auto-Regressive Transformers) model from the Hugging Face library. The model is trained on the 'HHousen/ParaSCI' dataset, which contains pairs of sentences, each pair consisting of an original sentence and its paraphrase.

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