ZjRSrSSKJr SSKJr SSKJrJr \R"\ 5r \"SS9\"SS \555r \"SS9\"S S \555r \"SS9\"S S \555r /SQrg)zBlip model configuration)strict)PreTrainedConfig)auto_docstringloggingzSalesforce/blip-vqa-base) checkpointcx\rSrSr%SrSrSrSr\\ S'Sr \\ S'Sr \\ S 'S r \\ S 'Sr \\ S 'S r\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\-\ S'Sr\\ S'Sr\S-\ S'Sr\\\-S-\ S 'S!r\S-\ S"'S#r\S-\ S$'S%r\\ S&'S%r\\ S''S%r \\ S('Sr!\\ S)'S*r"g)+BlipTextConfiga9 label_smoothing (float, *optional*): A float in [0.0, 1.0]. Specifies the amount of smoothing when computing the loss, where 0.0 means no smoothing. The targets become a mixture of the original ground truth and a uniform distribution as described in `Rethinking the Inception Architecture for Computer Vision `__. Default: :math:`0.0`. Example: ```python >>> from transformers import BlipTextConfig, BlipTextModel >>> # Initializing a BlipTextConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipTextConfig() >>> # Initializing a BlipTextModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipTextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```blip_text_model text_configi>> from transformers import BlipVisionConfig, BlipVisionModel >>> # Initializing a BlipVisionConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipVisionConfig() >>> # Initializing a BlipVisionModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipVisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```blip_vision_model vision_configrrrrrrrrri image_size patch_sizerrgh㈵>rrattention_dropoutg|=r"r-N)r.r/r0r1r2r3r4rr5r6rrrrrCr9tuplerErr7rr8rFr"r;r-r<r=r?r?Ks %J%OK!s!NCs!!47Jd3i%S/1746Jd3i%S/16J NE %(us{($u$r<r?c^\rSrSr%SrSr\\S.rSr \ \ -S-\ S'Sr \ \ -S-\ S'Sr\\ S 'S r\\ S 'S r\\ S 'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'U4SjrSrU=r$) BlipConfigna image_text_hidden_size (`int`, *optional*, defaults to 256): Dimensionality of the hidden state of the image-text fusion layer. label_smoothing (float, *optional*): A float in [0.0, 1.0]. Specifies the amount of smoothing when computing the loss, where 0.0 means no smoothing. The targets become a mixture of the original ground truth and a uniform distribution as described in `Rethinking the Inception Architecture for Computer Vision `__. Default: :math:`0.0`. Example: ```python >>> from transformers import BlipConfig, BlipModel >>> # Initializing a BlipConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipConfig() >>> # Initializing a BlipPModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a BlipConfig from a BlipTextConfig and a BlipVisionConfig >>> # Initializing a BLIPText and BLIPVision configuration >>> config_text = BlipTextConfig() >>> config_vision = BlipVisionConfig() >>> config = BlipConfig(text_config=config_text, vision_config=config_vision) ```blip)r rBNr rBrrg/L F@logit_scale_init_valueimage_text_hidden_sizerr,Tr+g?initializer_factorr!r"c >URc%[5Ul[RS5 O9[ UR[ 5(a[S0URD6UlUR c%[5Ul[RS5 O9[ UR [ 5(a[S0UR D6UlUR RURl [TU],"S0UD6 g)NzO`text_config` is `None`. Initializing the `BlipTextConfig` with default values.zS`vision_config` is `None`. initializing the `BlipVisionConfig` with default values.r-) r r loggerinfo isinstancedictrBr?rrsuper __post_init__)selfkwargs __class__s r=rVBlipConfig.__post_init__s    #-/D  KKi j (($ / /-A0@0@AD     %!1!3D  KKm n **D 1 1!1!GD4F4F!GD /3/A/A/M/M, ''r<)r.r/r0r1r2r3r r? sub_configsr rTrr6rBrr5rLr8rNr,r+r:rOr"rVr; __classcell__)rYs@r=rIrIns >J"0CSTK26K((4/648M4**T18NC$*E*"%C% OU $$ ###u#((r<rI)rIr r?N)r2huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr.rQr r?rI__all__r-r<r=rbs.3,   H %56-!%-!7-!`56%'%7%B56<(!<(7<(~ ?r<