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