Update README.md

README.md

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 ## Marathi-Doc-Topic-BERT
-Marathi-Doc-Topic-BERT model is an IndicSBERT(<a href="https://huggingface.co/l3cube-pune/marathi-sentence-bert-nli">l3cube-pune/marathi-sentence-bert-nli</a>) model fine-tuned on Marathi documents from the L3Cube-IndicNews Corpus [dataset link]https://github.com/l3cube-pune/indic-nlp. 
-This dataset consists of sub-datasets like LDC (Long Document Classification), LPC (Long Paragraph Classification), and SHC (Short Headlines Classification), each having different document lengths.
+Marathi-Doc-Topic-BERT model is an IndicSBERT(<a href="https://huggingface.co/l3cube-pune/marathi-sentence-bert-nli">l3cube-pune/marathi-sentence-bert-nli</a>) model fine-tuned on Marathi documents from the L3Cube-IndicNews Corpus [dataset link]https://github.com/l3cube-pune/indic-nlp. <br>
+This dataset consists of sub-datasets like LDC (Long Document Classification), LPC (Long Paragraph Classification), and SHC (Short Headlines Classification), each having different document lengths. <br>
 This model is trained on a combination of all three variants and works well across different document sizes.
 
 More details on the dataset, models, and baseline results can be found in our [paper]https://arxiv.org/abs/2401.02254