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# genta-tech/indobert-base-qnli
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This is a [sentence-transformers](https://www.SBERT.net) model based on pretrained [IndoBERT](https://huggingface.co/indolem/indobert-base-uncased) model by [IndoLEM](https://indolem.github.io/): 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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# genta-tech/indobert-base-qnli
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This is a [sentence-transformers](https://www.SBERT.net) model based on pretrained [IndoBERT](https://huggingface.co/indolem/indobert-base-uncased) model by [IndoLEM](https://indolem.github.io/): It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. This model specifically trained on questio-passage pairs dataset making it work best on question-passage input, if you need a model on sentence-sentence pairs input please check [genta-tech/indobert-base-snli](https://huggingface.co/genta-tech/indobert-base-snli).
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<!--- Describe your model here -->
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