fThxSrSSKrSSKJr SSKJr SSKJrJr \R"\ 5r "SS \5r S /r g) zColPali model configurationN)deepcopy)PretrainedConfig)CONFIG_MAPPING AutoConfigcL^\rSrSrSrSr\\S.rSS\ 4U4Sjjjr Sr U=r $) ColPaliConfiga Configuration class to store the configuration of a [`ColPaliForRetrieval`]. It is used to instantiate an instance of `ColPaliForRetrieval` according to the specified arguments, defining the model architecture following the methodology from the "ColPali: Efficient Document Retrieval with Vision Language Models" paper. Creating a configuration with the default settings will result in a configuration where the VLM backbone is set to the default PaliGemma configuration, i.e the one from [vidore/colpali-v1.2](https://huggingface.co/vidore/colpali-v1.2). The ColPali config is very similar to [`PaligemmaConfig`], but with an extra attribute defining the embedding dimension. Note that contrarily to what the class name suggests (actually the name refers to the ColPali **methodology**), you can use a different VLM backbone model than PaliGemma by passing the corresponding VLM configuration to the class constructor. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: vlm_config (`PretrainedConfig`, *optional*): Configuration of the VLM backbone model. text_config (`PretrainedConfig`, *optional*): Configuration of the text backbone model. Overrides the `text_config` attribute of the `vlm_config` if provided. embedding_dim (`int`, *optional*, defaults to 128): Dimension of the multi-vector embeddings produced by the model. Example: ```python from transformers.models.colpali import ColPaliConfig, ColPaliForRetrieval config = ColPaliConfig() model = ColPaliForRetrieval(config) ``` colpali) vlm_config text_config embedding_dimc n>Uc$[S"5n[RS5 O[U[5(aN[ U5nSU;a [ S5eUS[;a[SUSS35e[US"S 0UD6nO0[U[5(aUnO[S[U5S35eXl UbUO UR=Ul n[UR[5(a'SU;aUSOS US'[US"S 0UD6Ul X0l [TU]<"S 0UD6 g) N paligemmaza`vlm_config` is `None`. Initializing `vlm_config` with the `PaliGemmaConfig` with default values. model_typez^The `model_type` key is missing in the `vlm_config` dictionary. Please provide the model type.zThe model type `z6` is not supported. Please provide a valid model type.zWInvalid type for `vlm_config`. Expected `PretrainedConfig`, `dict`, or `None`, but got .gemma)rloggerinfo isinstancedictrKeyError ValueErrorr TypeErrortyper rrsuper__init__)selfr rrkwargs __class__s i/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/colpali/configuration_colpali.pyrColPaliConfig.__init__AsT  ' 46J KKs  D ) )!*-J:-tL)? &z,'?&@@vw( <(@AOJOJ  $4 5 5#Jijnoyjzi{{|} %8C8OU_UkUkk; d&& - -EQU`E` L(AfmK %-k,.GHW;WD * "6")rrr )NN) __name__ __module__ __qualname____firstlineno____doc__rrr sub_configsintr__static_attributes__ __classcell__)r"s@r#r r s9 DJ!1*MK &# &#&#r%r )r+loggingcopyrconfiguration_utilsrautorr getLoggerr'rr __all__rr%r#r6sB"3-   8 $L#$L#^  r%