Update README.md

README.md

@@ -5,14 +5,28 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+license: cc-by-4.0
+language: bn
 ---
 
-# {MODEL_NAME}
+# BengaliSBERT
+
+This is a BengaliBERT model (l3cube-pune/bengali-bert) trained on the NLI dataset. <br>
+Released as a part of project MahaNLP: https://github.com/l3cube-pune/MarathiNLP <br>
+
+A better sentence similarity model (fine-tuned version of this model) is shared here: https://huggingface.co/l3cube-pune/punjabi-sentence-similarity-sbert <br>
+
+More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2211.11187) 
 
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+```
+@article{joshi2022l3cubemahasbert,
+  title={L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi},
+  author={Joshi, Ananya and Kajale, Aditi and Gadre, Janhavi and Deode, Samruddhi and Joshi, Raviraj},
+  journal={arXiv preprint arXiv:2211.11187},
+  year={2022}
+}
+```
 
-<!--- Describe your model here -->
 
 ## Usage (Sentence-Transformers)