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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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- It's based on the [IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model by [indobenchmark](https://github.com/IndoNLP/indonlu) and trained using the IndoNLI dataset on [Google Colab](https://colab.research.google.com/drive/1Qs1Eo5x5WsSCV6hU3MWbnl8hU3pZI4E5).
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  <!--- Describe your model here -->
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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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+ It's based on the [IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model by [indobenchmark](https://github.com/IndoNLP/indonlu) and trained using the IndoNLI dataset on [Google Colab](https://colab.research.google.com/drive/1Qs1Eo5x5WsSCV6hU3MWbnl8hU3pZI4E5?usp=sharing).
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  <!--- Describe your model here -->
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