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README.md

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-IndicBARTSS is a multilingual, sequence-to-sequence pre-trained model focusing on Indic languages and English. It currently supports 11 Indian languages and is based on the mBART architecture. You can use IndicBARTSS model to build natural language generation applications for Indian languages by finetuning the model with supervised training data for tasks like machine translation, summarization, question generation, etc. Some salient features of the IndicBARTSS are:
+MultiIndicQuestionGenerationSS is a multilingual, sequence-to-sequence pre-trained model focusing on Indic languages. It currently supports 11 Indian languages and is based on the mBART architecture. You can use MultiIndicQuestionGenerationSS model to build question generation applications for Indian languages by finetuning the model with supervised training data. Some salient features of the MultiIndicQuestionGenerationSS are:
 
 <ul>
-<li >Supported languages: Assamese, Bengali, Gujarati, Hindi, Marathi, Odiya, Punjabi, Kannada, Malayalam, Tamil, Telugu and English. Not all of these languages are supported by mBART50 and mT5. </li>
+<li >Supported languages: Assamese, Bengali, Gujarati, Hindi, Marathi, Odia, Punjabi, Kannada, Malayalam, Tamil, and Telugu. </li>
 <li >The model is much smaller than the mBART and mT5(-base) models, so less computationally expensive for finetuning and decoding. </li>
 <li> Trained on large Indic language corpora (452 million sentences and 9 billion tokens) which also includes Indian English content. </li>
 <li> Unlike ai4bharat/IndicBART each language is written in its own script so you do not need to perform any script mapping to/from Devanagari. </li>