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This repository contains the [IndicBART](https://huggingface.co/ai4bharat/IndicBART) checkpoint finetuned on the 11 languages of [IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase) dataset. For finetuning details,
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see the [paper](https://arxiv.org/abs/2203.05437).
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## Using this model in `transformers`
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This repository contains the [IndicBART](https://huggingface.co/ai4bharat/IndicBART) checkpoint finetuned on the 11 languages of [IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase) dataset. For finetuning details,
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see the [paper](https://arxiv.org/abs/2203.05437).
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<ul>
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<li >Supported languages: Assamese, Bengali, Gujarati, Hindi, Marathi, Odiya, Punjabi, Kannada, Malayalam, Tamil, and Telugu. Not all of these languages are supported by mBART50 and mT5. </li>
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<li >The model is much smaller than the mBART and mT5(-base) models, so less computationally expensive for decoding. </li>
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<li> Trained on large Indic language corpora (5.53 million sentences). </li>
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<li> All languages, have been represented in Devanagari script to encourage transfer learning among the related languages. </li>
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</ul>
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## Using this model in `transformers`
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