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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 1024 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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- Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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- ```
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- pip install -U sentence-transformers
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- ```
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- Then you can use the model like this:
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- ```python
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- from sentence_transformers import SentenceTransformer
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- sentences = ["This is an example sentence", "Each sentence is converted"]
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- model = SentenceTransformer('{MODEL_NAME}')
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- embeddings = model.encode(sentences)
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- print(embeddings)
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- ```
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  ## Evaluation Results
 
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  ---
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+ # {bge-large-fine-tuned}
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 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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  ## Evaluation Results