Create README.md

README.md

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+---
+language:
+- hi
+- en
+- multilingual
+license: cc-by-4.0
+tags:
+- hi
+- en
+- codemix
+datasets:
+- L3Cube-HingCorpus
+---
+
+## HingBERT-Mixed-v2
+HingBERT-Mixed-v2 is a Hindi-English code-mixed BERT model trained on roman + devanagari text. It is a base MuRIL model fine-tuned on mixed script L3Cube-HingCorpus.
+<br>
+[dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
+
+More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
+
+Other models from HingBERT family: <br>
+<a href="https://huggingface.co/l3cube-pune/hing-bert"> HingBERT </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-mbert"> HingMBERT </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-mbert-mixed"> HingBERT-Mixed </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-roberta"> HingRoBERTa </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-roberta-mixed"> HingRoBERTa-Mixed </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-gpt"> HingGPT </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-gpt-devanagari"> HingGPT-Devanagari </a> <br>
+<a href="https://huggingface.co/l3cube-pune/hing-bert-lid"> HingBERT-LID </a> <br>
+
+
+```
+@inproceedings{nayak-joshi-2022-l3cube,
+    title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models",
+    author = "Nayak, Ravindra  and Joshi, Raviraj",
+    booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.wildre-1.2",
+    pages = "7--12",
+}
+```