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  # recobo/agri-sentence-transformer
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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- This model was built using recobo/agriculture-bert-uncased, which is a BERT model trained on 6.5 million passages from the agricultural domain. Hence, this model is expected to perform well on sentence similarity tasks specifically for agricultural text data.
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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  ```
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  # recobo/agri-sentence-transformer
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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+ This model was built using [recobo/agriculture-bert-uncased](https://huggingface.co/recobo/agriculture-bert-uncased), which is a BERT model trained on 6.5 million passages from the agricultural domain. Hence, this model is expected to perform well on sentence similarity tasks specifically for agricultural text data.
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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  ```