Create README.md

README.md

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+---
+language: mr
+tags:
+- bert
+license: cc-by-4.0
+datasets:
+- L3Cube-MahaSent-MD
+widget:
+- text: "I like you. </s></s> I love you."
+---
+
+
+## MahaSent-GT
+
+MahaSent-GT is a MahaBERT(l3cube-pune/marathi-bert-v2) model fine-tuned on L3Cube-MahaSent-GT Corpus, a generic tweets domain Marathi sentiment analysis dataset. <br>
+This dataset is a part of L3Cube-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset. <br>
+The MahaSent-MD dataset contains domains like movie reviews, generic tweets, subtitles, and political tweets. This model is trained specifically on the generic small tweets domain. <br>
+[dataset link] (https://github.com/l3cube-pune/MarathiNLP)
+
+More details on the dataset, models, and baseline results can be found in our [paper] (coming soon)
+<br>
+Citing:
+
+```
+@article{joshi2022l3cube,
+ title={L3cube-mahanlp: Marathi natural language processing datasets, models, and library},
+ author={Joshi, Raviraj},
+ journal={arXiv preprint arXiv:2205.14728},
+ year={2022}
+}
+```
+
+Other Marathi Sentiment models from the MahaSent family are shared here:<br>
+
+<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-md"> MahaSent-MD (multi domain) </a> <br>
+<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-tweets"> MahaSent-GT (generic tweets) </a> <br>
+<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-movie-reviews"> MahaSent-MR (movie reviews) </a> <br>
+<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-political-tweets"> MahaSent-PT (political tweets) </a> <br>
+<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-subtitles"> MahaSent-ST (TV subtitles) </a> <br>
+<a href="https://huggingface.co/l3cube-pune/MarathiSentiment"> MahaSent v1 (political tweets) </a> <br>