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# NghiemAbe/sami-sbert-CT
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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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I use pretrained model [bkai-foundation-models/vietnamese-bi-encoder](https://huggingface.co/bkai-foundation-models/vietnamese-bi-encoder) and train the model on SAMI dataset.
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# NghiemAbe/sami-sbert-CT
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🐱 <a href="https://github.com/nguyenvannghiem0312/SAMI_Q-A" target="_blank">Github Repo</a>
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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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I use pretrained model [bkai-foundation-models/vietnamese-bi-encoder](https://huggingface.co/bkai-foundation-models/vietnamese-bi-encoder) and train the model on SAMI dataset.
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