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README.md
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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## Model Details
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### Model Description
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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You can find eval, fine-tune scripts [here](https://github.com/AndrewNgo-ini/MiAI_HieuNgo_EmbedingFineTune/blob/main/TextEmbeddingMiAI_DEMO.ipynb) as well as my [seminar](https://www.youtube.com/watch?v=oUFyFjGnXXw&t=1s)
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## Model Details
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### Model Description
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