l3cube-pune
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README.md
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@@ -11,11 +11,9 @@ More details on the dataset, models, and baseline results can be found in our [p
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```
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@article{joshi2022l3cubehind,
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title = {L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages},
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doi = {10.13140/RG.2.2.14606.84809}
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}
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```
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```
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@article{joshi2022l3cubehind,
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title={L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages},
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author={Joshi, Raviraj},
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journal={arXiv preprint arXiv:2211.11418},
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year={2022}
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}
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```
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