dhXSSKJrJrJrJr SSKJrJrJr SSK J r Sr "SS\\ 5r g))AnyDictListTuple) BaseModel ConfigDictField)BaseCrossEncoderzBAAI/bge-reranker-basec^\rSrSr%SrSr\\S'\r \ \S'\ "\ S9r \\ \4\S'S\4U4S jjr\"S S S 9rS \\\ \ 4S\\4SjrSrU=r$)HuggingFaceCrossEncoder ahHuggingFace cross encoder models. Example: .. code-block:: python from langchain_community.cross_encoders import HuggingFaceCrossEncoder model_name = "BAAI/bge-reranker-base" model_kwargs = {'device': 'cpu'} hf = HuggingFaceCrossEncoder( model_name=model_name, model_kwargs=model_kwargs ) Nclient model_name)default_factory model_kwargskwargsc >[TU]"S0UD6 SSKnUR"UR 40UR D6Ulg![an[S5UeSnAff=f)z$Initialize the sentence_transformer.rNzrCould not import sentence_transformers python package. Please install it with `pip install sentence-transformers`.)super__init__sentence_transformers ImportError CrossEncoderrrr)selfrrexc __class__s f/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/cross_encoders/huggingface.pyr HuggingFaceCrossEncoder.__init__ sn "6"  (,88 OO #00   N  sA A AAforbidr)extraprotected_namespaces text_pairsreturncURRU5n[UR5S:a [ SU5nU$)zCompute similarity scores using a HuggingFace transformer model. Args: text_pairs: The list of text text_pairs to score the similarity. Returns: List of scores, one for each pair. c US$)Nr%r)xs r/HuggingFaceCrossEncoder.score..?s1Q4)rpredictlenshapemap)rr"scoress rscoreHuggingFaceCrossEncoder.score2s<$$Z0 v|| q 0F r*)r)__name__ __module__ __qualname____firstlineno____doc__rr__annotations__DEFAULT_MODEL_NAMErstrr dictrrrr model_configrrfloatr0__static_attributes__ __classcell__)rs@rr r s~ FC(J(#(#>L$sCx.>1  H2FLU38_ 5$u+r*r N) typingrrrrpydanticrrr 'langchain_community.cross_encoders.baser r8r rr*rrBs)))11D-6i)96r*