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  pipeline_tag: sentence-similarity
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- Blommz-3b-retriever
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  Introducing Bloomz-3b-retriever based on the [Bloomz-3b-sft-chat model](https://huggingface.co/cmarkea/bloomz-3b-sft-chat). This model enables the creation of an embedding representation of text and queries for a retrieval task, linking queries to documents. The model is designed to be cross-language, meaning it is language-agnostic (English/French). This model is ideal for Open Domain Question Answering (ODQA), projecting queries and text with an algebraic structure to bring them closer together.
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  ![embedding_camembert](https://i.postimg.cc/x1fZMhFK/emb-camembert.png)
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- How to Use Blommz-3b-retriever
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  The following example utilizes the API Pipeline of the Transformers library.
 
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  Introducing Bloomz-3b-retriever based on the [Bloomz-3b-sft-chat model](https://huggingface.co/cmarkea/bloomz-3b-sft-chat). This model enables the creation of an embedding representation of text and queries for a retrieval task, linking queries to documents. The model is designed to be cross-language, meaning it is language-agnostic (English/French). This model is ideal for Open Domain Question Answering (ODQA), projecting queries and text with an algebraic structure to bring them closer together.
 
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  ![embedding_camembert](https://i.postimg.cc/x1fZMhFK/emb-camembert.png)
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+ How to Use Bloomz-3b-retriever
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  The following example utilizes the API Pipeline of the Transformers library.