ó <±h|ãó€•SSKJr SSKJr SSKJr SSKJr SSKJ r \R"\5r"SS \5r S /rg )é)Údeepcopy)ÚAnyé)ÚPretrainedConfig)Úloggingé)ÚCONFIG_MAPPINGcóv^•\rSrSr%SrSrS\0r\\ \ 4\S'SS\S\ 4U4SjjjrS S \4S jjrSrU=r$)ÚColQwen2Configéa Configuration class to store the configuration of a [`ColQ2en2ForRetrieval`]. It is used to instantiate an instance of `ColQwen2ForRetrieval` according to the specified arguments, defining the model architecture following the methodology from the "ColPali: Efficient Document Retrieval with Vision Language Models" paper. Instantiating a configuration with the defaults will yield a similar configuration to the vision encoder used by the pre-trained ColQwen2-v1.0 model, e.g. [vidore/colqwen2-v1.0-hf](https://huggingface.co/vidore/colqwen2-v1.0-hf). Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: vlm_config (`PretrainedConfig`, *optional*): Configuration of the VLM backbone model. embedding_dim (`int`, *optional*, defaults to 128): Dimension of the multi-vector embeddings produced by the model. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. Example: ```python from transformers.models.colqwen2 import ColQwen2Config, ColQwen2ForRetrieval config = ColQwen2Config() model = ColQwen2ForRetrieval(config) ``` Úcolqwen2Ú vlm_configÚsub_configsÚ embedding_dimÚinitializer_rangecó€>•Uc$[S"5n[RS5 Ot[U[5(a/[U5nSU;a[ S5e[US"S0UD6nO0[U[5(aUnO[S[U5S35eXl X lX0l[TU]8"S0UD6 g)NÚqwen2_vlz_`vlm_config` is `None`. Initializing `vlm_config` with the `Qwen2VLConfig` with default values.Ú model_typez^The `model_type` key is missing in the `vlm_config` dictionary. Please provide the model type.zWInvalid type for `vlm_config`. Expected `PretrainedConfig`, `dict`, or `None`, but got Ú.©)r ÚloggerÚinfoÚ isinstanceÚdictrÚKeyErrorrÚ TypeErrorÚtyperrrÚsuperÚ__init__)ÚselfrrrÚkwargsÚ __class__s €Úk/var/www/html/shao/venv/lib/python3.13/site-packages/transformers/models/colqwen2/configuration_colqwen2.pyrÚColQwen2Config.__init__;sÉø€ðÑÜ'¨ Ò3Ó5ˆJÜK‰KØqõ ô˜ ¤D× )Ñ )Ü! *Ó-ˆJØ :Ó-ÜØtóðô(¨ °<Ñ(@ÒAÑOÀJÑO‰JÜ ˜ Ô$4× 5Ñ 5Ø#‰JäØiÔjnÐoyÓjzÐi{Ð{|Ð}óð ð%ŒØ*ÔØ!2ÔÜ ‰ÒÑ"˜6Ó"óÚreturncó4•URRUS9$)N)Údecoder)rÚget_text_config)r r(s r#r)ÚColQwen2Config.get_text_configZs€Ø‰×.Ñ.°wÐ.Ð?Ð?r%)rrr)Né€g{®Gáz”?)F)Ú__name__Ú __module__Ú__qualname__Ú__firstlineno__Ú__doc__rrrrÚstrrÚ__annotations__ÚintÚfloatrr)Ú__static_attributes__Ú __classcell__)r"s@r#rrseø‡ñð8€JØ#/Ð1AÐ"B€Kc˜3h‘ÓBðØ Ø#'ñ #ðð#ð!÷ #ð#ñ>@Ð0@÷@ó@r%rN)ÚcopyrÚtypingrÚconfiguration_utilsrÚutilsrÚautor Ú get_loggerr,rrÚ__all__rr%r#Úr>sDðõ Ýå3ÝÝ!ð × Ò ˜HÓ %€ô@@Ð%ô@@ðFÐ r%