+ j^RIHt^RIHt^RIHtHt]P!]4t ]!RR7]!RR]444t ]!RR7]!RR ]444t ]!RR7]!R R ]444t .R Ot R #))strict)PreTrainedConfig)auto_docstringloggingz"google/siglip2-base-patch16-naflex) checkpointc~aa]tRt^toRtRtRtRtRtRt ^ t ^ t ^@t Rt RtR t^tR tR tR tV3R ltV3RltRtVtV;t#)Siglip2TextConfiga Example: ```python >>> from transformers import Siglip2TextConfig, Siglip2TextModel >>> # Initializing a Siglip2TextConfig with google/siglip2-base-patch16-224 style configuration >>> configuration = Siglip2TextConfig() >>> # Initializing a Siglip2TextModel (with random weights) from the google/siglip2-base-patch16-224 style configuration >>> model = Siglip2TextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```siglip2_text_model text_configi} gelu_pytorch_tanhư>iiNc ~<VPe VPM VPVn\SV` !R/VBR#)N)projection_size hidden_sizesuper __post_init__selfkwargs __class__s&,r/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/siglip2/configuration_siglip2.pyrSiglip2TextConfig.__post_init__Es57;7K7K7Wt33]a]m]m ''c<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[S[,;R &S[R ,;R &S[R ,;R &S[S[S[,,R ,;R &S[R ,;R&#) vocab_sizerintermediate_sizenum_hidden_layersnum_attention_headsmax_position_embeddings hidden_actlayer_norm_epsattention_dropoutN pad_token_id bos_token_id eos_token_idr)intstrfloatlist)format __classdict__s"r __annotate__Siglip2TextConfig.__annotate__s,-./0!1234!56!%78)9: ;<s{(=B* CD*$EFS /D(0GH4Z&Ir)r)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyr rr!r"r#r$r%r&r'r(r)r*rr__annotate_func____static_attributes____classdictcell__ __classcell__rr0s@@rr r sk &J#OJK!!#%)J N%( !L$L+0L"&O(Mrr c`a]tRt^JtoRtRtRtRtRt^ t ^ t ^t ^t Rt RtRtR tV3R ltR tVtR #) Siglip2VisionConfiga6 num_patches (`int`, *optional*, defaults to 256): The number of patches in the image with the size of (`patch_size`, `patch_size`). The image is resized to fill maximum of this number of patches, and to preserve the aspect ratio. In case the resulted number of patches is lower, the image is padded in "patch" dimension. Example: ```python >>> from transformers import Siglip2VisionConfig, Siglip2VisionModel >>> # Initializing a Siglip2VisionConfig with google/siglip2-base-patch16-naflex style configuration >>> configuration = Siglip2VisionConfig() >>> # Initializing a Siglip2VisionModel (with random weights) from the google/siglip2-base-patch16-naflex style configuration >>> model = Siglip2VisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```siglip2_vision_model vision_configr r rrrc<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[;R&S[S[S[,,S[S[S[3,,;R&S[;R&S[;R&S[S[,;R &S[;R &#) rrr!r"r# num_channels patch_sizer%r&r' num_patches)r+r.tupler,r-)r/r0s"rr1 Siglip2VisionConfig.__annotate__Js89:!;<=>!?@ABd3i%S/16CD)EF GHs{(ILMrrN)r3r4r5r6r7r8r9rr!r"r#rErFr%r&r'rGr:r;r<)r0s@rr@r@JsT ,(J%OK!!L46J)J N%(KMrr@c^aa]tRt^stoRtRtR]R]/tRt Rt Rt V3Rlt V3Rlt R tVtV;t#) Siglip2ConfigaC Example: ```python >>> from transformers import Siglip2Config, Siglip2Model >>> # Initializing a Siglip2Config with google/siglip2-base-patch16-224 style configuration >>> configuration = Siglip2Config() >>> # Initializing a Siglip2Model (with random weights) from the google/siglip2-base-patch16-224 style configuration >>> model = Siglip2Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a Siglip2Config from a Siglip2TextConfig and a Siglip2VisionConfig >>> from transformers import Siglip2TextConfig, Siglip2VisionConfig >>> # Initializing a Siglip2Text and Siglip2Vision configuration >>> config_text = Siglip2TextConfig() >>> config_vision = Siglip2VisionConfig() >>> config = Siglip2Config(text_config=config_text, vision_config=config_vision) ```siglip2r rBNg?c <VPf&\4Vn\PR4M:\ VP\ 4'd\R/VPBVnVP f&\4Vn\PR4M:\ VP \ 4'd\R/VP BVn\SV`$!R/VBR#)NzR`text_config` is `None`. Initializing the `Siglip2TextConfig` with default values.zV`vision_config` is `None`. initializing the `Siglip2VisionConfig` with default values.r) r r loggerinfo isinstancedictrBr@rrrs&,rrSiglip2Config.__post_init__s    #02D  KKl m (($ / /0D43C3CDD     %!4!6D  KKp q **D 1 1!4!Jt7I7I!JD  ''rcz<V^8dQh/S[S[,R,;R&S[S[,R,;R&S[;R&#)rNr rBinitializer_factor)rQrr-)r/r0s"rr1Siglip2Config.__annotate__ssF>((4/6?@**T18AB#Cr)r rB)r3r4r5r6r7r8r r@ sub_configsr rBrTrr:r;r<r=r>s@@rrKrKss> 2J "3_FYZK26K48M # (GrrKN)rKr r@)huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr3rNr r@rK__all__rrrr\s,/3,   H %?@&((&(A&(R?@$*$A$N?@.($.(A.(b Hr