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--- |
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language: mr |
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tags: |
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- bert |
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license: cc-by-4.0 |
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datasets: |
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- L3Cube-MahaNews-SHC |
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widget: |
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- text: "IND vs IRE : आयर्लंडच्या दौऱ्यासाठी कसा आहे भारतीय संघ, जाणून घ्या कोणाला मिळाली संधी..." |
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--- |
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## MahaNews-SHC-BERT |
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MahaNews-SHC-BERT is a MahaBERT(<a href="https://huggingface.co/l3cube-pune/marathi-bert-v2">l3cube-pune/marathi-bert-v2</a>) model fine-tuned on full L3Cube-MahaNews-SHC Corpus, a Marathi short text / news headlines classification dataset. <br> |
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It is a topic identification cum short text classification model with 12 output categories <br> |
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[dataset link] (https://github.com/l3cube-pune/MarathiNLP) |
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More details on the dataset, models, and baseline results can be found in our [paper] (coming soon) |
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<br> |
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Citing: |
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``` |
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@article{joshi2022l3cube, |
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title={L3cube-mahanlp: Marathi natural language processing datasets, models, and library}, |
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author={Joshi, Raviraj}, |
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journal={arXiv preprint arXiv:2205.14728}, |
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year={2022} |
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} |
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``` |
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Other Marathi Sentiment models from MahaNews family are shared here:<br> |
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<a href="https://huggingface.co/l3cube-pune/marathi-topic-long-doc"> MahaNews-LDC-BERT (long documents) </a> <br> |
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<a href="https://huggingface.co/l3cube-pune/marathi-topic-short-doc"> MahaNews-SHC-BERT (short text) </a> <br> |
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<a href="https://huggingface.co/l3cube-pune/marathi-topic-medium-doc"> MahaNews-LPC-BERT (medium paragraphs) </a> <br> |
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<a href="https://huggingface.co/l3cube-pune/marathi-topic-all-doc"> MahaNews-All-BERT (all document lengths) </a> <br> |
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