ZjSSKJr SSKJr SSKJrJr \R"\5r \"SS9\"SS\555r \"SS9\"S S \555r \"SS9\"S S \555r /S Qr g))strict)PreTrainedConfig)auto_docstringloggingz!apple/aimv2-large-patch14-224-lit) checkpointc2\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'S r \\ S 'S r \\ S'Sr\\\-\\\4-\ S'Sr\\\-\\\4-\ S'Sr\\ S'Sr\\-\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S 'S!rg")#Aimv2VisionConfiga use_head (`str`, *optional*, defaults to `True`): Whether to use Attention Pooling Head or Not. is_native (`str`, *optional*, defaults to `False`): Whether to use ckpt trained for image native resolution or not. Example: ```python >>> from transformers import SiglipVisionConfig, SiglipVisionModel >>> # Initializing a Aimv2VisionConfig with apple/aimv2-large-patch14-224 style configuration >>> configuration = Aimv2VisionConfig() >>> # Initializing a Aimv2VisionModel (with random weights) from the apple/aimv2-large-patch14-224 style configuration >>> model = Aimv2VisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```aimv2_vision_model vision_configi hidden_sizei intermediate_sizenum_hidden_layersnum_attention_headsr num_channels image_size patch_sizesilu hidden_actattention_dropouth㈵> rms_norm_epsFqkv_biasmlp_bias{Gz?initializer_rangeTuse_head is_nativeN)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyrint__annotations__rrrrrlisttuplerrstrrfloatrrboolr r"r#r$__static_attributes__r%~/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/aimv2/configuration_aimv2.pyr r s *&J%OK!s!s  L#47Jd3i%S/1746Jd3i%S/16J%(us{(L%HdHd#u#HdItr5r c^\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'S r \\ S 'S r \\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\\-S-\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'U4SjrS rU=r$)!Aimv2TextConfigJa Example: ```python >>> from transformers import Aimv2TextConfig, Aimv2TextModel >>> # Initializing a Aimv2TextConfig with google/aimv2-base-patch16-224 style configuration >>> configuration = Aimv2TextConfig() >>> # Initializing a Aimv2TextModel (with random weights) from the google/aimv2-base-patch16-224 style configuration >>> model = Aimv2TextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```aimv2_text_model text_configi vocab_sizeirir rrMmax_position_embeddingsrrrriN eos_token_idrrFrr r!r"c &>[TU]"S0UD6 g)Nr%)super __post_init__selfkwargs __class__s r6rDAimv2TextConfig.__post_init__ms ''r5r%)r&r'r(r)r*r+r,r<r-r.rrrrr@rr1rr2rAr/rrr3r r"rDr4 __classcell__rHs@r6r8r8Js $J#OJK!s!s  #%S%J%(us{(+0L#S /D(0L%HdHd#u#((r5r8c^\rSrSr%SrSr\\S.rSr \ \ -S-\ S'Sr \ \ -S-\ S'Sr\\ S 'S r\\ S 'S r\\ S 'Sr\\ S'U4SjrSrU=r$) Aimv2Configqa max_logit_scale (`float`, *optional*, defaults to `100.0`): The maximum logit scale to use Example: ```python >>> from transformers import Aimv2Config, Aimv2Model >>> # Initializing a Aimv2Config with apple/aimv2-large-patch14-224-lit style configuration >>> configuration = Aimv2Config() >>> # Initializing a Aimv2Model (with random weights) from the apple/aimv2-large-patch14-224-lit style configuration >>> model = Aimv2Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a Aimv2Config from a Aimv2TextConfig and a Aimv2VisionConfig >>> from transformers import Aimv2TextConfig, Aimv2VisionConfig >>> # Initializing a AIMv2Text and AIMv2Vision configuration >>> config_text = Aimv2TextConfig() >>> config_vision = Aimv2VisionConfig() >>> config = Aimv2Config(text_config=config_text, vision_config=config_vision) ```aimv2)r;r Nr;r g?initializer_factoriprojection_dimg/L F@logit_scale_init_valuegY@max_logit_scalec >URc%[5Ul[RS5 O9[ UR[ 5(a[S0URD6UlUR c%[5Ul[RS5 O9[ UR [ 5(a[S0UR D6Ul[TU]$"S0UD6 g)NzP`text_config` is `None`. Initializing the `Aimv2TextConfig` with default values.zT`vision_config` is `None`. initializing the `Aimv2VisionConfig` with default values.r%) r;r8loggerinfo isinstancedictr r rCrDrEs r6rDAimv2Config.__post_init__s    #.0D  KKj k (($ / /.B1A1ABD     %!2!4D  KKn o **D 1 1!2!HT5G5G!HD  ''r5)r&r'r(r)r*r+r8r sub_configsr;rXrr.r rPr2rQr-rRrSrDr4rJrKs@r6rMrMqsx 8J"1DUVK26K((4/648M4**T18 ##NC$*E*"OU" ( (r5rM)rMr r8N)huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr&rUr r8rM__all__r%r5r6r`s*/3,   H %>?'('@'T>?"(&"(@"(J>?5("5(@5(p Br5