9isXSrSSKJr SSKJr \R "5r"SS\5rg)zXDeBERTa-v2 model configuration, mainly copied from :class:`~transformers.DeBERTaV2Config)PretrainedConfig)loggercZ^\rSrSrSrSrSU4SjjrSrU=r$)DebertaV2Configa This is the configuration class to store the configuration of a [`DebertaV2Model`]. It is used to instantiate a DeBERTa-v2 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 DeBERTa [microsoft/deberta-v2-xlarge](https://huggingface.co/microsoft/deberta-v2-xlarge) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Arguments: vocab_size (`int`, *optional*, defaults to 128100): Vocabulary size of the DeBERTa-v2 model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`DebertaV2Model`]. hidden_size (`int`, *optional*, defaults to 1536): Dimensionality of the encoder layers and the pooler layer. num_hidden_layers (`int`, *optional*, defaults to 24): Number of hidden layers in the Transformer encoder. num_attention_heads (`int`, *optional*, defaults to 24): Number of attention heads for each attention layer in the Transformer encoder. intermediate_size (`int`, *optional*, defaults to 6144): Dimensionality of the "intermediate" (often named feed-forward) layer in the Transformer encoder. hidden_act (`str` or `Callable`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, `"relu"`, `"silu"`, `"gelu"`, `"tanh"`, `"gelu_fast"`, `"mish"`, `"linear"`, `"sigmoid"` and `"gelu_new"` are supported. hidden_dropout_prob (`float`, *optional*, defaults to 0.1): The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. attention_probs_dropout_prob (`float`, *optional*, defaults to 0.1): The dropout ratio for the attention probabilities. max_position_embeddings (`int`, *optional*, defaults to 512): 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). type_vocab_size (`int`, *optional*, defaults to 0): The vocabulary size of the `token_type_ids` passed when calling [`DebertaModel`] or [`TFDebertaModel`]. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. layer_norm_eps (`float`, *optional*, defaults to 1e-7): The epsilon used by the layer normalization layers. relative_attention (`bool`, *optional*, defaults to `True`): Whether use relative position encoding. max_relative_positions (`int`, *optional*, defaults to -1): The range of relative positions `[-max_position_embeddings, max_position_embeddings]`. Use the same value as `max_position_embeddings`. pad_token_id (`int`, *optional*, defaults to 0): The value used to pad input_ids. position_biased_input (`bool`, *optional*, defaults to `False`): Whether add absolute position embedding to content embedding. pos_att_type (`List[str]`, *optional*): The type of relative position attention, it can be a combination of `["p2c", "c2p"]`, e.g. `["p2c"]`, `["p2c", "c2p"]`, `["p2c", "c2p"]`. layer_norm_eps (`float`, optional, defaults to 1e-12): The epsilon used by the layer normalization layers. deberta_v2c >[TU]"S0UD6 X lX0lX@lXPlX`lXplXlXl Xl Xl Xl Xl XlUUl[!U5[":Xa=UR%5R'S5Vs/sHnUR)5PM nnUUlXlXlUR1SU5UlUUlUUlgs snf)N|pooler_hidden_size)super__init__ hidden_sizenum_hidden_layersnum_attention_headsintermediate_size hidden_acthidden_dropout_probattention_probs_dropout_probmax_position_embeddingstype_vocab_sizeinitializer_rangerelative_attentionmax_relative_positions pad_token_idposition_biased_inputtypestrlowersplitstrip pos_att_type vocab_sizelayer_norm_epsgetr pooler_dropoutpooler_hidden_act)selfr#rrrrrrrrrrr$rrrrr"r&r'kwargsx __class__s n/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/modelscope/models/nlp/deberta_v2/configuration.pyrDebertaV2Config.__init__Ps* "6"&!2#6 !2$#6 ,H)'>$.!2"4&<#(%:"   $/;/A/A/C/I/I#/NO/N!AGGI/NLO($,"(**-A;"O,!2PsC0)rrrrrrr$rrrrrr&r'r r"rrrr#)idirrigelu皙?r/irg{Gz?gHz>FrTNrr.) __name__ __module__ __qualname____firstlineno____doc__ model_typer__static_attributes__ __classcell__)r+s@r,rrsU4jJ#!#%%'#'"%(.1),!"#' $$)(*'+" !#)'0303rN)r5 transformersrmodelscope.utilsrlogging get_loggerrr r9r,r>s.`).    h3&h3r9