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license: mit
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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. The SBERT_AL model is an advanced version of the SBERT ([stsb-mpnet-base-v2](https://huggingface.co/sentence-transformers/stsb-mpnet-base-v2)) model, which is initially a well-trained general-purpose sentence transformer. It is further refined through an active learning algorithm to enhance its performance for financial semantic textual similarity tasks.
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license: mit
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# FinSentenceBERT
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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. The SBERT_AL model is an advanced version of the SBERT ([stsb-mpnet-base-v2](https://huggingface.co/sentence-transformers/stsb-mpnet-base-v2)) model, which is initially a well-trained general-purpose sentence transformer. It is further refined through an active learning algorithm to enhance its performance for financial semantic textual similarity tasks.
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