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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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This model may be used to estimate the similarities between sentences containing migration-related demands and propositions.
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# Fine-Tuned on `all-MiniLM-L6-v2` Model
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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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This model may be used to estimate the similarities between sentences containing migration-related demands and propositions. Check out this [blog post](https://nicoblokker.github.io/PTaD/posts/qca_meets_sbert/dna_meets_sbert.html) for more information and potential use cases.
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# Fine-Tuned on `all-MiniLM-L6-v2` Model
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