+ jRt^RIHt^RIHt^RIHtHt]P!] 4t ]!RR7]!RR]444t ]!RR7]!RR ]444t ]!RR7]!R R ]444t .R OtR #)zBridgeTower model configuration)strict)PreTrainedConfig)auto_docstringloggingzBridgeTower/bridgetower-base) checkpointc`a]tRt^toRtRtRtRt^ t^t ^t Rt ^t Rt RtRtRtV3R ltR tVtR #) BridgeTowerVisionConfiga[ stop_gradient (`bool`, *optional*, defaults to `False`): Whether to stop gradient for training. share_layernorm (`bool`, *optional*, defaults to `True`): Whether LayerNorm layers are shared. remove_last_layer (`bool`, *optional*, defaults to `False`): Whether to remove the last layer from the vision encoder. Example: ```python >>> from transformers import BridgeTowerVisionConfig >>> # Initializing a BridgeTower BridgeTower/bridgetower-base style configuration for the vision model >>> configuration = BridgeTowerVisionConfig() >>> # Accessing the configuration >>> configuration ```bridgetower_vision_model vision_configi h㈵>FTc.<V^8dQh/S[;R&S[;R&S[;R&S[S[S[,,S[S[S[3,,;R&S[S[S[,,S[S[S[3,,;R&S[S[,;R&S[;R&S[;R&S[;R &S[;R &#)  hidden_sizenum_hidden_layers num_channels patch_size image_sizeinitializer_factorlayer_norm_eps stop_gradientshare_layernormremove_last_layer)intlisttuplefloatbool)format __classdict__s"z/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/bridgetower/configuration_bridgetower.py __annotate__$BridgeTowerVisionConfig.__annotate__s456789:d3i%S/16;<d3i%S/17=> '?@!ABCD EF#GN)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyrrrrrrrrrr__annotate_func____static_attributes____classdictcell__rs@r rrsS (,J%OKL46J47J&'!NM O#Gr#rca]tRt^?toRtRtRtRtRt^ t ^ t ^t Rt Rt RtRtR t^tR t^t^t^tR tR tR tV3R ltRtVtR#)BridgeTowerTextConfiga Example: ```python >>> from transformers import BridgeTowerTextConfig >>> # Initializing a BridgeTower BridgeTower/bridgetower-base style configuration for the text model >>> configuration = BridgeTowerTextConfig() >>> # Accessing the configuration >>> configuration ```bridgetower_text_model text_configiYr i gelug?ir TFcl<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[S[,;R&S[;R&S[;R&S[S[,;R&S[S[,;R &S[;R &S[;R &S[;R &S[R ,;R&S[R ,;R&S[S[S[,,R ,;R&S[;R&S[;R&S[;R&#)r vocab_sizerrnum_attention_headsrintermediate_size hidden_acthidden_dropout_probattention_probs_dropout_probmax_position_embeddingstype_vocab_sizerN pad_token_id bos_token_id eos_token_id use_cache is_decoderadd_cross_attention)rrstrrr)rrs"r r!"BridgeTowerTextConfig.__annotate__?s&'()*+,!-. '/0!1234*56#(#+378!&9:;<!=>* ?@* ABS /D(,CDEFGH%Ir#r$N)r%r&r'r(r)r*r+r6rrr7rr8r9r:r;r<r=rr>r?r@rArBrCr,r-r.r/s@r r1r1?s  *J#OJK!&'!J'*03 #&O!N L L+,LIJ %Ir#r1caa]tRt^ftoRtRtR]R]/tRt Rt Rt ^t Rt R tR t^ t^tR tR tR tR tV3R ltV3R ltRtVtV;t#)BridgeTowerConfiga share_cross_modal_transformer_layers (`bool`, *optional*, defaults to `True`): Whether cross modal transformer layers are shared. share_link_tower_layers (`bool`, *optional*, defaults to `False`): Whether the bridge/link tower layers are shared. link_tower_type (`str`, *optional*, defaults to `"add"`): Type of the bridge/link layer. init_layernorm_from_vision_encoder (`bool`, *optional*, defaults to `False`): Whether to init LayerNorm from the vision encoder. Example: ```python >>> from transformers import BridgeTowerModel, BridgeTowerConfig >>> # Initializing a BridgeTower BridgeTower/bridgetower-base style configuration >>> configuration = BridgeTowerConfig() >>> # Initializing a model from the BridgeTower/bridgetower-base style configuration >>> model = BridgeTowerModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` bridgetowerr3r Tr4r r FaddNc $<VPRR4pVPRR4pVPf&\4Vn\P R4M:\ VP\ 4'd\R/VPBVnVPf&\4Vn\P R4M:\ VP\ 4'd\R/VPBVn\SV`(!R/VBR#)text_config_dictNvision_config_dictzV`text_config` is `None`. initializing the `BridgeTowerTextConfig` with default values.zZ`vision_config` is `None`. initializing the `BridgeTowerVisionConfig` with default values.r$) popr3r1loggerinfo isinstancedictr rsuper __post_init__)selfkwargs_ __class__s&, r rSBridgeTowerConfig.__post_init__s JJ)4 0 JJ+T 2    #46D  KKp q (($ / /4Ht7G7GHD     %!8!:D  KKt u **D 1 1!8!N4;M;M!ND  ''r#c<V^8dQh/S[;R&S[;R&S[;R&S[S[,;R&S[;R&S[;R&S[;R&S[;R&S[;R &S[;R &S[;R &S[S[,R ,;R &S[S[,R ,;R&#)r$share_cross_modal_transformer_layersr9rrrshare_link_tower_layerslink_tower_typer7rtie_word_embeddings"init_layernorm_from_vision_encoderNr3r )rrDrrrQr)rrs"r r!BridgeTowerConfig.__annotate__fs>+/5?@ABCD 'EF!GH")IJ KL!MNOP%QR)-4ST((4/6UV**T18Wr#)r3r )r%r&r'r(r)r*r1r sub_configsrZr9rrrr[r\r7rr]r^r3r rSr,r-r. __classcell__)rWrs@@r rGrGfsv 2J "7JabK15(JK&'!N$) O! %/4&26K48M([r#rGN)rGr1r)r)huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr%rNrr1rG__all__r$r#r rgs&.3,   H %9:!$.!$;!$H9:"&,"&;"&J9:<((<(;<(~ Tr#