[model_card] rohanrajpal/bert-base-codemixed-uncased-sentiment (#6324)

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Co-authored-by: Julien Chaumond <chaumond@gmail.com>

model_cards/rohanrajpal/bert-base-codemixed-uncased-sentiment/README.md

+---
+language:
+- hi
+- en
+tags:
+- hi
+- en
+- codemix
+datasets:
+- SAIL 2017
+---
+
+# Model name
+
+## Model description
+
+I took a bert-base-multilingual-cased model from huggingface and finetuned it on SAIL 2017 dataset.  
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# You can include sample code which will be formatted
+#Coming soon!
+```
+
+#### Limitations and bias
+
+Provide examples of latent issues and potential remediations.
+
+## Training data
+
+I trained on the SAIL 2017 dataset [link](http://amitavadas.com/SAIL/Data/SAIL_2017.zip) on this [pretrained model](https://huggingface.co/bert-base-multilingual-cased).
+
+
+## Training procedure
+
+No preprocessing.
+
+## Eval results
+
+### BibTeX entry and citation info
+
+```bibtex
+@inproceedings{khanuja-etal-2020-gluecos,
+    title = "{GLUEC}o{S}: An Evaluation Benchmark for Code-Switched {NLP}",
+    author = "Khanuja, Simran  and
+      Dandapat, Sandipan  and
+      Srinivasan, Anirudh  and
+      Sitaram, Sunayana  and
+      Choudhury, Monojit",
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
+    month = jul,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.acl-main.329",
+    pages = "3575--3585"
+}
+```