+ j)Rt^RIHt^RIHt^RIHtHt]P!] 4t ]!RR7]!RR]444t ]!RR7]!RR ]444t ]!RR7]!R R ]444t .R OtR #)zCLIP model configuration)strict)PreTrainedConfig)auto_docstringloggingzopenai/clip-vit-base-patch32) checkpointcza]tRt^toRtRtRtRtRtRt Rt ^ t ^t ^Mt RtRtR tR tR t^tR tR tRtV3RltRtVtR#)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_configii quick_geluh㈵>{Gz??iic VPVP,^8wd'\RVP RVP R24hR#zOPart of `@strict`-powered validation. Validates the architecture of the config.zThe hidden size (z6) is not a multiple of the number of attention heads (z).N hidden_sizenum_attention_heads ValueErrorselfs&l/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/clip/configuration_clip.pyvalidate_architecture$CLIPTextConfig.validate_architectureBS   d66 6! ;#D$4$4#5622327  <c`<V^8dQh/S[;R&S[;R&S[;R&S[R,;R&S[;R&S[;R&S[;R&S[;R &S[R,;R &S[S[,R,;R &S[;R &S[R,;R &S[R,;R&S[R,;R&S[S[S[,,R,;R&#) vocab_sizerintermediate_sizeNprojection_dimnum_hidden_layersrmax_position_embeddings hidden_actlayer_norm_epsattention_dropoutinitializer_rangeinitializer_factor pad_token_id bos_token_id eos_token_id)intstrfloatlist)format __classdict__s"r __annotate__CLIPTextConfig.__annotate__s,-./0!12$J$3456 78!%9:";<DL'=>U{T)/?@#AB *CJ* KL*$MNS /D(0OrN)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyr rr!r"r#rr$r%r&r'r(r)r*r+r,r__annotate_func____static_attributes____classdictcell__r2s@rrrsw #J#OJK!!$N #%"J#'N,/#'* !L$L+0LSrrcra]tRt^KtoRtRtRtRtRtRt ^ t ^ t ^t ^t ^ tRtRtR tR tR tR tV3R ltRtVtR#)CLIPVisionConfiga 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_configii r r r rrrc VPVP,^8wd'\RVP RVP R24hR#rrrs&rr&CLIPVisionConfig.validate_architectureorrc|<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[S[S[,,S[S[S[3,,R,;R&S[S[S[,,S[S[S[3,,R,;R &S[;R &S[;R &S[S[,R,;R &S[;R &S[;R&#)rrr!r"r#r num_channelsN image_size patch_sizer%r&r'r(r))r-r0tupler.r/)r1r2s"rr3CLIPVisionConfig.__annotate__Ks,-.!/01234!5678d3i%S/1D8>9:d3i%S/1D8=;<"=> ?@U{T)/AB#CD#Err5N)r6r7r8r9r:r;r<rr!r"r#rrHrIrJr%r&r'r(r)rr=r>r?r@s@rrBrBKsj %J%OK!N!L;>J;=J"J N,/# #IrrBcfaa]tRt^xtoRtRtR]R]/tRt Rt Rt Rt Rt V3R ltV3R ltR tVtV;t#) CLIPConfiga 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) ```clipr rDNr g/L F@rc 6<VPf/p\PR4MG\VP\4'dVPP 4pM VPpVP f/p\PR4MG\VP \4'dVP P 4pM VP pVPRR4pVPRR4pVe\ R/VBP 4pVP4FPwrxWr9gK WV,8wgKVR8wgK%Wt9d RV RV R2p MR V R 2p \PV 4KR VPV4Ve\R/VBP 4p R V 9d9V R ,P4UUu/uFwrx\V4VbK uppV R &V P4FPwrxWs9gK WV,8wgKVR8wgK%Wu9d RV R V R2p MR V R 2p \PV 4KR VPV 4\ R/VBVn\R/VBVn\S V`4!R/VBR#uuppi)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["r5)r loggerinfo isinstancerto_dictrDrBpopitemsupdater.super __post_init__) rkwargsr rDrQrR_text_config_dictkeyvaluemessage_vision_config_dict __class__s &, rr^CLIPConfig.__post_init__s    #K KKi j ((. 9 9**224K**K    %M KKm n **,< = = ..668M ..M "::&8$?#ZZ( > ''93sJc<V^8dQh/S[S[,R,;R&S[S[,R,;R&S[R,;R&S[S[,R,;R&S[R,;R&#)rNr rDr"logit_scale_init_valuer))dictrrBr-r/)r1r2s"rr3CLIPConfig.__annotate__xsvL&-4MN**T18OP$J$QR"CK$.7ST *Ur)r rD)r6r7r8r9r:r;rrB sub_configsr rDr"rhr)r^r=r>r? __classcell__)rer2s@@rrNrNxsJ @J ./CSTK04K48M!$N17'*Q(YrrNN)rNrrB)r:huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr6rVrrBrN__all__r5rrrrs.3,   H %9:-%-;-`9:('(;(V9:{(!{(;{(| ?r