+ œ°³jPãóh€^RIHt^RIHt^RIHt]!RR7]!RR]444tR.tR#) é)Ústrict)Úauto_docstring)ÚLayoutLMv2Configzmicrosoft/layoutxlm-base)Ú checkpointcó€]tRt^tRtRtR#)ÚLayoutXLMConfigaþ max_2d_position_embeddings (`int`, *optional*, defaults to 1024): The maximum value that the 2D position embedding might ever be used with. Typically set this to something large just in case (e.g., 1024). max_rel_pos (`int`, *optional*, defaults to 128): The maximum number of relative positions to be used in the self-attention mechanism. rel_pos_bins (`int`, *optional*, defaults to 32): The number of relative position bins to be used in the self-attention mechanism. fast_qkv (`bool`, *optional*, defaults to `True`): Whether or not to use a single matrix for the queries, keys, values in the self-attention layers. max_rel_2d_pos (`int`, *optional*, defaults to 256): The maximum number of relative 2D positions in the self-attention mechanism. rel_2d_pos_bins (`int`, *optional*, defaults to 64): The number of 2D relative position bins in the self-attention mechanism. convert_sync_batchnorm (`bool`, *optional*, defaults to `True`): Whether or not to convert batch normalization layers to synchronized batch normalization layers. image_feature_pool_shape (`list[int]`, *optional*, defaults to `[7, 7, 256]`): The shape of the average-pooled feature map. coordinate_size (`int`, *optional*, defaults to 128): Dimension of the coordinate embeddings. shape_size (`int`, *optional*, defaults to 128): Dimension of the width and height embeddings. has_relative_attention_bias (`bool`, *optional*, defaults to `True`): Whether or not to use a relative attention bias in the self-attention mechanism. has_spatial_attention_bias (`bool`, *optional*, defaults to `True`): Whether or not to use a spatial attention bias in the self-attention mechanism. has_visual_segment_embedding (`bool`, *optional*, defaults to `False`): Whether or not to add visual segment embeddings. detectron2_config_args (`dict`, *optional*): Dictionary containing the configuration arguments of the Detectron2 visual backbone. Refer to [this file](https://github.com/microsoft/unilm/blob/master/layoutlmft/layoutlmft/models/layoutxlm/detectron2_config.py) for details regarding default values. Example: ```python >>> from transformers import LayoutXLMConfig, LayoutXLMModel >>> # Initializing a LayoutXLM microsoft/layoutxlm-base style configuration >>> configuration = LayoutXLMConfig() >>> # Initializing a model (with random weights) from the microsoft/layoutxlm-base style configuration >>> model = LayoutXLMModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```©N)Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__Ú__doc__Ú__static_attributes__r óÚp/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/layoutxlm/modular_layoutxlm.pyrrs †ñ. ó` rrN)Úhuggingface_hub.dataclassesrÚutilsrÚ#layoutlmv2.configuration_layoutlmv2rrÚ__all__r rrÚrsEðõ /å#ÝBñÐ5Ô6Øô1 Ð&ó1 óó7ð1 ðh Ð ‚r