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Update README.md
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README.md
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@@ -69,6 +69,19 @@ More details on the dataset, models, and baseline results can be found in our [p
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```
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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print("Sentence embeddings:")
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print(sentence_embeddings)
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```
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}
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```
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<br>
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Monolingual Indic sentence BERT models are listed below: <br>
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https://huggingface.co/l3cube-pune/marathi-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/hindi-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/kannada-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/telugu-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/malayalam-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/tamil-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/gujarati-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/odia-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/bengali-sentence-bert-nli <br>
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https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli <br>
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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print("Sentence embeddings:")
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print(sentence_embeddings)
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```
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