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  - feature-extraction
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  - sentence-similarity
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  - transformers
 
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  ---
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- # {MODEL_NAME}
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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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- <!--- Describe your model here -->
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  ## Usage (Sentence-Transformers)
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  - feature-extraction
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  - sentence-similarity
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  - transformers
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+ license: cc-by-3.0
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  ---
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+ # RoBERTa TopSeg BBC
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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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+ The model has been fine-tuned on transcripts from news shows aired on BBC world news channel, so as to encode sentences from the same topically coherent news segment closer in space.
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  ## Usage (Sentence-Transformers)
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