U hk@sNddlmZmZmZmZddlmZmZddlm Z dZ Gdddee Z dS))AnyDictListTuple) BaseModelField)BaseCrossEncoderzBAAI/bge-reranker-basecseZdZUdZeed<eZeed<e e dZ e eefed<edfdd Z Gd d d Zeeeefeed d d ZZS)HuggingFaceCrossEncoderaHuggingFace 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 ) client model_name)default_factory model_kwargs)kwargsc s`tjf|z ddl}Wn,tk rF}ztd|W5d}~XYnX|j|jf|j|_dS)z$Initialize the sentence_transformer.rNzrCould not import sentence_transformers python package. Please install it with `pip install sentence-transformers`.)super__init__sentence_transformers ImportErrorZ CrossEncoderr r r )selfrrexc __class__R/tmp/pip-unpacked-wheel-9gdii04g/langchain_community/cross_encoders/huggingface.pyr s z HuggingFaceCrossEncoder.__init__c@seZdZdZdS)zHuggingFaceCrossEncoder.ConfigZforbidN)__name__ __module__ __qualname__extrarrrrConfig0sr) text_pairsreturncCs,|j|}t|jdkr(tdd|}|S)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. cSs|dS)Nr r)xrrr@z/HuggingFaceCrossEncoder.score..)r Zpredictlenshapemap)rrZscoresrrrscore3s zHuggingFaceCrossEncoder.score)rrr__doc__r__annotations__DEFAULT_MODEL_NAMEr strrdictr rrrrrfloatr' __classcell__rrrrr s  r N) typingrrrrZlangchain_core.pydantic_v1rrZ'langchain_community.cross_encoders.baserr*r rrrrs