Zj)SrSSKJr SSKJr SSKJrJr \R"\ 5r \"SS9\"SS \555r \"SS9\"S S \555r \"SS9\"S S \555r /SQrg)zCLIP model configuration)strict)PreTrainedConfig)auto_docstringloggingzopenai/clip-vit-base-patch32) checkpointc6\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'Sr \S -\ S 'S r \\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\S -\ S'Sr\\-S -\ S'Sr\\ S'Sr\S -\ S'Sr\S -\ S'Sr\S -\ S 'S!r\\\-S -\ S"'S#rS$rg )%CLIPTextConfiga Example: ```python >>> from transformers import CLIPTextConfig, CLIPTextModel >>> # Initializing a CLIPTextConfig with openai/clip-vit-base-patch32 style configuration >>> configuration = CLIPTextConfig() >>> # Initializing a CLIPTextModel (with random weights) from the openai/clip-vit-base-patch32 style configuration >>> model = CLIPTextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```clip_text_model text_configi vocab_size hidden_sizeiintermediate_sizeNprojection_dim num_hidden_layersnum_attention_headsMmax_position_embeddings quick_gelu hidden_acth㈵>layer_norm_epsattention_dropout{Gz?initializer_range?initializer_factor pad_token_idi bos_token_idi eos_token_idcURUR-S:wa&[SURSURS35egzOPart of `@strict`-powered validation. Validates the architecture of the config.rzThe hidden size (z6) is not a multiple of the number of attention heads (z).Nrr ValueErrorselfs |/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/clip/configuration_clip.pyvalidate_architecture$CLIPTextConfig.validate_architectureBS   d66 6! ;#D$4$4#5622327  <)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyrint__annotations__rrrrrrrstrrfloatrr r"r$r%r&listr.__static_attributes__r2r1r-r r s #J#OJK!s!!$NC$J$s  #%S%"J"#'NEDL',/sU{T)/#u#'* * !L#* $L#*$+0L#S /D(0r1r c.\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'S r \\ S 'S r \\ S 'Sr\\ S'Sr\\\-\\\4-S-\ S'Sr\\\-\\\4-S-\ S'Sr\\ S'Sr\\ S'Sr\\-S-\ S'Sr\\ S'Sr\\ S'SrS rg)!CLIPVisionConfigKa Example: ```python >>> from transformers import CLIPVisionConfig, CLIPVisionModel >>> # Initializing a CLIPVisionConfig with openai/clip-vit-base-patch32 style configuration >>> configuration = CLIPVisionConfig() >>> # Initializing a CLIPVisionModel (with random weights) from the openai/clip-vit-base-patch32 style configuration >>> model = CLIPVisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```clip_vision_model vision_configiri rrrrrrr num_channelsN image_size patch_sizerrrrrrrr r!r"cURUR-S:wa&[SURSURS35egr(r)r+s r-r.&CLIPVisionConfig.validate_architectureor0r1r2)r3r4r5r6r7r8r9rr:r;rrrrrErGr>tuplerIrr<rr=rr r"r.r?r2r1r-rArAKs %J%OK!s!NCs!!L#;>Jd3i%S/1D8>;=Jd3i%S/1D8="J" NE ,/sU{T)/#u# ##r1rAc^\rSrSr%SrSr\\S.rSr \ \-S-\ S'Sr \ \-S-\ S'Sr \S-\ S 'S r\\-S-\ S 'S r\S-\ S 'U4SjrSrU=r$) CLIPConfigxa text_config (`dict`, *optional*): Dictionary of configuration options used to initialize [`CLIPTextConfig`]. vision_config (`dict`, *optional*): Dictionary of configuration options used to initialize [`CLIPVisionConfig`]. logit_scale_init_value (`float | int`, *optional*, defaults to 2.6592): The initial value of the *logit_scale* parameter. Default is used as per the original CLIP implementation. Example: ```python >>> from transformers import CLIPConfig, CLIPModel >>> # Initializing a CLIPConfig with openai/clip-vit-base-patch32 style configuration >>> configuration = CLIPConfig() >>> # Initializing a CLIPModel (with random weights) from the openai/clip-vit-base-patch32 style configuration >>> model = CLIPModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a CLIPConfig from a CLIPTextConfig and a CLIPVisionConfig >>> from transformers import CLIPTextConfig, CLIPVisionConfig >>> # Initializing a CLIPText and CLIPVision configuration >>> config_text = CLIPTextConfig() >>> config_vision = CLIPVisionConfig() >>> config = CLIPConfig(text_config=config_text, vision_config=config_vision) ```clip)r rDNr rDrrg/L F@logit_scale_init_valuer!r"c >URc0n[RS5 OF[UR[5(aURR 5nO URnUR c0n[RS5 OF[UR [5(aUR R 5nO UR nURSS5nURSS5nUb[ S0UD6R 5nUR5HHupxXr;dM XU:wdMUS:wdMXt;a SUSUS3n OS US 3n [RU 5 MJ URU5 Ub[S0UD6R 5n S U ;a5U S R5VVs0sHupx[U5U_M snnU S 'U R5HHupxXs;dM XU:wdMUS:wdMXu;a SUS US3n OS US 3n [RU 5 MJ URU 5 [ S0UD6Ul[S0UD6Ul[T U]4"S0UD6 gs snnf)NzO`text_config` is `None`. Initializing the `CLIPTextConfig` with default values.zS`vision_config` is `None`. initializing the `CLIPVisionConfig` with default values.text_config_dictvision_config_dicttransformers_version`zp` is found in both `text_config_dict` and `text_config` but with different values. The value `text_config_dict["z"]` will be used instead.zj`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["z"]` will be overridden.id2labelzv` is found in both `vision_config_dict` and `vision_config` but with different values. The value `vision_config_dict["zp`vision_config_dict` is provided which will be used to initialize `CLIPVisionConfig`. The value `vision_config["r2)r loggerinfo isinstancer to_dictrDrApopitemsupdater<super __post_init__) r,kwargsr rDrSrT_text_config_dictkeyvaluemessage_vision_config_dict __class__s r-r`CLIPConfig.__post_init__s    #K KKi j ((. 9 9**224K**K    %M KKm n **,< = = ..668M ..M "::&8$?#ZZ( > ''93s=I:)r3r4r5r6r7r8r rA sub_configsr dictr;rDrr:rQr=r"r`r? __classcell__)rgs@r-rNrNxs @J"0CSTK04K&-448M4**T18!$NC$J$17ECK$.7'* *Q(Q(r1rN)rNr rAN)r7huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr3rXr rArN__all__r2r1r-rqs.3,   H %9:-%-;-`9:('(;(V9:{(!{(;{(| ?r1