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README.md
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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> Unlike
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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> Unlike <a href="https://huggingface.co/ai4bharat/MultiIndicParaphraseGeneration">MultiIndicParaphraseGeneration</a> each language is written in its own script, so you do not need to perform any script mapping to/from Devanagari. </li>
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