fThh.SrSSKJr SSKJr \R "\5r"SS\5r"SS\5r "SS \5r S /r g ) zKOSMOS-2 model configuration)PretrainedConfig)loggingcn^\rSrSrSrSrSrS/rSSSS .rS U4S jjr S r U=r $) Kosmos2TextConfiga This is the configuration class to store the configuration of a [`Kosmos2TextModel`]. It is used to instantiate a KOSMOS-2 text decoder according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the text decoder of the KOSMOS-2 [microsoft/kosmos-2-patch14-224](https://huggingface.co/microsoft/kosmos-2-patch14-224) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: vocab_size (`int`, *optional*, defaults to 65037): Vocabulary size of the Kosmos2 model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`Kosmos2Model`]. max_position_embeddings (`int`, *optional*, defaults to 2048): The maximum sequence length that this model might ever be used with. Typically set this to something large just in case (e.g., 512 or 1024 or 2048). embed_dim (`int`, *optional*, defaults to 2048): Dimensionality of the layers and the pooler layer. layers (`int`, *optional*, defaults to 24): Number of hidden layers in the Transformer encoder. ffn_dim (`int`, *optional*, defaults to 8192): Dimensionality of the "intermediate" (often named feed-forward) layer in the Transformer encoder. attention_heads (`int`, *optional*, defaults to 32): Number of attention heads for each attention layer in the Transformer encoder. activation_function (`str` or `function`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, `"relu"`, `"silu"` and `"gelu_new"` are supported. dropout (`float`, *optional*, defaults to 0.1): The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. attention_dropout (`float`, *optional*, defaults to 0.1): The dropout ratio for the attention probabilities. activation_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio for activations inside the fully connected layer. layerdrop (`float`, *optional*, defaults to 0.0): The LayerDrop probability for the decoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556) for more details. layer_norm_eps (`float`, *optional*, defaults to 1e-05): The epsilon used by the layer normalization layers. init_std (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. scale_embedding (`bool`, *optional*, defaults to `True`): Scale embeddings by diving by sqrt(embed_dim). use_cache (`bool`, *optional*, defaults to `True`): Whether or not the model should return the last key/values attentions (not used by all models). pad_token_id (`int`, *optional*, defaults to 1): Token id used for padding. bos_token_id (`int`, *optional*, defaults to 0): Token id used for beginning of string. eos_token_id (`int`, *optional*, defaults to 2): Token id used for end of string. ```kosmos_2_text_model text_configpast_key_valuesattention_heads embed_dimlayers)num_attention_heads hidden_sizenum_hidden_layersc >[TU]"SUUUS.UD6 XlX lX0lX@lXPlX`lXplXl Xl Xl Xl Xl XlXlXlg)N) pad_token_id bos_token_id eos_token_id)super__init__ vocab_sizemax_position_embeddingsr r ffn_dimr activation_functiondropoutattention_dropoutactivation_dropout layerdroplayer_norm_epsinit_stdscale_embedding use_cache)selfrrr r rr rrrrrr r!r"r#rrrkwargs __class__s i/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/kosmos2/configuration_kosmos2.pyrKosmos2TextConfig.__init__Vs~,  %%%   %'>$"  .#6  !2"4", .")rrrr rr rr!r rr rr"r#r)i r*ri gelu皙?r-r.h㈵>{Gz?TT) __name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keykeys_to_ignore_at_inference attribute_mapr__static_attributes__ __classcell__r&s@r'rrsp2 h'J#O#4"50"%M $"'+#+#r)rcP^\rSrSrSrSrSrSU4SjjrSrU=r $)Kosmos2VisionConfiga This is the configuration class to store the configuration of a [`Kosmos2VisionModel`]. It is used to instantiate a KOSMOS-2 vision encoder according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the vision encoder of the KOSMOS-2 [microsoft/kosmos-2-patch14-224](https://huggingface.co/microsoft/kosmos-2-patch14-224) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: hidden_size (`int`, *optional*, defaults to 1024): Dimensionality of the encoder layers and the pooler layer. intermediate_size (`int`, *optional*, defaults to 4096): Dimensionality of the "intermediate" (i.e., feed-forward) layer in the Transformer encoder. num_hidden_layers (`int`, *optional*, defaults to 24): Number of hidden layers in the Transformer encoder. num_attention_heads (`int`, *optional*, defaults to 16): Number of attention heads for each attention layer in the Transformer encoder. num_channels (`int`, *optional*, defaults to 3): The number of input channels. image_size (`int`, *optional*, defaults to 224): The size (resolution) of each image. patch_size (`int`, *optional*, defaults to 14): The size (resolution) of each patch. hidden_act (`str` or `function`, *optional*, defaults to `"quick_gelu"`): The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, `"relu"`, `"selu"` and `"gelu_new"` `"quick_gelu"` are supported. layer_norm_eps (`float`, *optional*, defaults to 1e-05): The epsilon used by the layer normalization layers. attention_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio for the attention probabilities. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. initializer_factor (`float`, *optional*, defaults to 1.0): A factor for initializing all weight matrices (should be kept to 1, used internally for initialization testing). ```kosmos_2_vision_model vision_configc  >[TU]"S0U D6 XlX lX0lX@lXPlXplX`lXl Xl Xl Xl Xl g)Nr)rrrintermediate_sizerr num_channels patch_size image_sizeinitializer_rangeinitializer_factorrr hidden_act)r$rrFrrrGrIrHrLr rrJrKr%r&s r'rKosmos2VisionConfig.__init__sZ "6"&!2!2#6 ($$!2"4!2,$r)) rrLrrIrKrJrFr rrGrrH) iirr quick_gelur/r.r0g?) r4r5r6r7r8r9r:rr=r>r?s@r'rArAsE$ L)J%O%%r)rAcD^\rSrSrSrSr\\S.rSU4Sjjr Sr U=r $) Kosmos2Configa This is the configuration class to store the configuration of a [`Kosmos2Model`]. It is used to instantiate a KOSMOS-2 model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the KOSMOS-2 [microsoft/kosmos-2-patch14-224](https://huggingface.co/microsoft/kosmos-2-patch14-224) architecture. Args: text_config (`dict`, *optional*): Dictionary of configuration options used to initialize [`Kosmos2TextConfig`]. vision_config (`dict`, *optional*): Dictionary of configuration options used to initialize [`Kosmos2VisionConfig`]. latent_query_num (`int`, *optional*, defaults to 64): The number of latent query tokens that represent the image features used in the text decoder component. kwargs (*optional*): Dictionary of keyword arguments. Example: ```python >>> from transformers import Kosmos2Config, Kosmos2Model >>> # Initializing a Kosmos-2 kosmos-2-patch14-224 style configuration >>> configuration = Kosmos2Config() >>> # Initializing a model (with random weights) from the kosmos-2-patch14-224 style configuration >>> model = Kosmos2Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```zkosmos-2)r rDc >[TU]"S0UD6 Uc0n[RS5 Uc0n[RS5 [ S0UD6Ul[ S0UD6UlX0lg)NzR`text_config` is `None`. Initializing the `Kosmos2TextConfig` with default values.zV`vision_config` is `None`. Initializing the `Kosmos2VisionConfig` with default values.r) rrloggerinforr rArDlatent_query_num)r$r rDrXr%r&s r'rKosmos2Config.__init__sk "6"  K KKl m  M KKp q,;{;0A=A 0r))rXr rD)NN@) r4r5r6r7r8r9rrA sub_configsrr=r>r?s@r'rSrSs/ >J"3FYZK 11r)rSN) r8configuration_utilsrutilsr get_loggerr4rVrrArS__all__rr)r'r`sZ#3   H %i#(i#XG%*G%T71$71t  r)